repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
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YouTokenToMe | YouTokenToMe-master/tests/unit_tests/utils_for_testing.py | import random
import shutil
from pathlib import Path
from subprocess import run
BASE_MODEL_FILE = "artifacts/base_model.yttm"
RENAME_ID_MODEL_FILE = "artifacts/rename_model.yttm"
TRAIN_FILE = "artifacts/random_train_text.txt"
TEST_FILE = "artifacts/random_test_text.txt"
BOS_ID = 2
EOS_ID = 3
artifacts_generated = Fal... | 1,777 | 24.042254 | 81 | py |
YouTokenToMe | YouTokenToMe-master/youtokentome/yttm_cli.py | import _youtokentome_cython as yttmc
import click
@click.group()
def main():
pass
@click.command()
@click.option(
"--data",
type=click.Path(exists=True),
required=True,
help="Training data file path.",
)
@click.option(
"--model", type=click.Path(), required=True, help="Output model file path... | 4,130 | 23.3 | 87 | py |
YouTokenToMe | YouTokenToMe-master/youtokentome/__init__.py | from .youtokentome import BPE
from .youtokentome import OutputType
| 67 | 21.666667 | 36 | py |
YouTokenToMe | YouTokenToMe-master/youtokentome/youtokentome.py | import _youtokentome_cython
from enum import Enum
from typing import List, Union, Optional, Collection
class OutputType(Enum):
ID = 1
SUBWORD = 2
class BPE:
def __init__(self, model: str, n_threads: int = -1):
self.model = model
self.n_threads = n_threads
self.bpe_cython = _yout... | 2,732 | 26.33 | 80 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/test.py | import numpy as np
import torch
import random
from learner import Learner
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Learning Debiased Representation via Disentangled Feature Augmentation (NeurIPS 21 Oral)')
# training
parser.add_argument("--batch_size", help=... | 3,784 | 63.152542 | 170 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/learner.py | from tqdm import tqdm
import wandb
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
import os
import torch.optim as optim
from data.util import get_dataset, IdxDataset
from module.loss import GeneralizedCELoss
from module.util import get_model
from util import EMA
class ... | 25,007 | 39.400646 | 161 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/util.py | '''Modified from https://github.com/alinlab/LfF/blob/master/util.py'''
import io
import torch
import numpy as np
import torch.nn as nn
class EMA:
def __init__(self, label, num_classes=None, alpha=0.9):
self.label = label.cuda()
self.alpha = alpha
self.parameter = torch.zeros(label.size(0))... | 1,178 | 35.84375 | 118 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/train.py | import numpy as np
import torch
import random
from learner import Learner
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Learning Debiased Representation via Disentangled Feature Augmentation (NeurIPS 21 Oral)')
# training
parser.add_argument("--batch_size", help=... | 4,084 | 59.970149 | 170 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/module/resnet.py | ''' From https://github.com/alinlab/LfF/blob/master/module/resnet.py '''
"""
Properly implemented ResNet-s for CIFAR10 as described in paper [1].
The implementation and structure of this file is hugely influenced by [2]
which is implemented for ImageNet and doesn't have option A for identity.
Moreover, most of the imp... | 6,270 | 27.375566 | 78 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/module/mlp.py | ''' Modified from https://github.com/alinlab/LfF/blob/master/module/mlp.py'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class MLP_DISENTANGLE(nn.Module):
def __init__(self, num_classes = 10):
super(MLP_DISENTANGLE, self).__init__()
self.feature = nn.Sequential(
... | 2,245 | 26.728395 | 77 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/module/loss.py | '''From https://github.com/alinlab/LfF/blob/master/module/loss.py'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class GeneralizedCELoss(nn.Module):
def __init__(self, q=0.7):
super(GeneralizedCELoss, self).__init__()
self.q = q
... | 813 | 28.071429 | 79 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/module/util.py | ''' Modified from https://github.com/alinlab/LfF/blob/master/module/util.py '''
import torch.nn as nn
from module.resnet import resnet20
from module.mlp import *
from torchvision.models import resnet18, resnet50
def get_model(model_tag, num_classes):
if model_tag == "ResNet20":
return resnet20(num_classes... | 1,099 | 34.483871 | 79 | py |
Learning-Debiased-Disentangled | Learning-Debiased-Disentangled-master/data/util.py | '''Modified from https://github.com/alinlab/LfF/blob/master/data/util.py'''
import os
import torch
from torch.utils.data.dataset import Dataset, Subset
from torchvision import transforms as T
from glob import glob
from PIL import Image
class IdxDataset(Dataset):
def __init__(self, dataset):
self.dataset =... | 9,788 | 31.73913 | 160 | py |
fast-dpsgd | fast-dpsgd-main/opacusdp.py | '''
Opacus experiments for all the models
'''
import time
import torch
import torch.nn.functional as F
from opacus import PrivacyEngine
from opacus.layers import DPLSTM
from torch import nn, optim
import data
import utils
from pytorch import get_data, model_dict
class LSTMNet(nn.Module):
def __init__(self, voca... | 3,656 | 31.078947 | 99 | py |
fast-dpsgd | fast-dpsgd-main/runtime_experiment.py | import argparse
import pprint
import subprocess
from utils import pr_green, pr_red
def launch(expt, batch_size, epochs):
"""Runs expt at batch_size for all the scripts"""
errors = []
# yapf: disable
cmds = [
('jax', f'CUDA_VISIBLE_DEVICES=0 python jaxdp.py {expt} --no_dpsgd --epochs {epochs} ... | 5,190 | 59.360465 | 163 | py |
fast-dpsgd | fast-dpsgd-main/pytorch.py | '''
Model file and non-differentially private file
'''
import time
import torch
import torch.nn.functional as F
from torch import nn, optim
import data
import utils
class EmbeddingNet(nn.Module):
def __init__(self, vocab_size: int, **_):
super().__init__()
# Embedding dimension: vocab_size + <un... | 5,651 | 30.4 | 92 | py |
fast-dpsgd | fast-dpsgd-main/utils.py | import argparse
import pickle
def get_parser(experiments):
parser = argparse.ArgumentParser()
parser.add_argument('experiment', choices=experiments)
parser.add_argument('--dpsgd', dest='dpsgd', action='store_true')
parser.add_argument('--no_dpsgd', dest='dpsgd', action='store_false')
parser.add_ar... | 1,703 | 36.043478 | 88 | py |
fast-dpsgd | fast-dpsgd-main/data.py | import numpy as np
import tensorflow as tf
from keras.preprocessing import sequence
def dataloader(x, y, batch_size):
if batch_size > len(x):
raise ValueError('Batch Size too big.')
num_eg = len(x)
assert num_eg == len(y)
for i in range(0, num_eg, batch_size):
yield x[i:i + batch_size]... | 5,648 | 36.410596 | 96 | py |
fast-dpsgd | fast-dpsgd-main/jaxdp.py | '''
Code for JAX implementations presented in: Enabling Fast
Differentially Private SGD via Just-in-Time Compilation and Vectorization
'''
import itertools
import time
from functools import partial
import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
from jax import grad, jit, random, vmap
from ja... | 11,056 | 35.734219 | 99 | py |
fast-dpsgd | fast-dpsgd-main/tf1dp.py | """Based on: https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial_vectorized.py"""
import os
import time
from functools import partial
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis.gdp_accountant import (compute_eps_poisson,
... | 7,118 | 43.49375 | 110 | py |
fast-dpsgd | fast-dpsgd-main/tf2dp.py | import time
from functools import partial
import tensorflow as tf
from tensorflow_privacy.privacy.analysis.gdp_accountant import (compute_eps_poisson,
compute_mu_poisson)
from jax.tree_util import tree_multimap
import data
import utils
def get_logreg_m... | 10,368 | 39.346304 | 100 | py |
fast-dpsgd | fast-dpsgd-main/pyvacydp.py | '''
Pyvacy implementations
'''
import time
import torch
import torch.nn.functional as F
from pyvacy import analysis, optim
from torch import nn
import data
import utils
from pytorch import get_data, model_dict
def main(args):
print(args)
assert args.dpsgd
torch.backends.cudnn.benchmark = True
trai... | 1,971 | 29.8125 | 90 | py |
fast-dpsgd | fast-dpsgd-main/owkindp.py | '''
Code for Grad-CNN implementations
'''
import time
import torch
import torch.nn.functional as F
from gradcnn import crb, make_optimizer
from torch import nn, optim
import data
import utils
from pytorch import get_data
class MNISTNet(crb.Module):
def __init__(self, **_):
super().__init__()
se... | 4,604 | 28.519231 | 94 | py |
fast-dpsgd | fast-dpsgd-main/memory_experiment.py | import argparse
import pickle
import subprocess
from utils import pr_green, pr_red
# yapf: disable
CMDS = dict((
('jax', 'python jaxdp.py {} --no_dpsgd --no_save --dummy_data'),
('tf2', 'python tf2dp.py {} --no_dpsgd --no_xla --no_save --dummy_data'),
('tf1', 'python tf1dp.py {} --no_... | 5,000 | 37.767442 | 114 | py |
fast-dpsgd | fast-dpsgd-main/backpackdp.py | '''
BackPACK experiments in this file
'''
import time
import torch
import torch.nn.functional as F
from backpack import backpack, extend
from backpack.extensions import BatchGrad, BatchL2Grad
from torch import nn
from torch.optim import Optimizer
import data
import utils
from pytorch import get_data, model_dict
def... | 4,755 | 31.8 | 98 | py |
nocturne | nocturne-main/setup.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run via ```python setup.py develop``` to install Nocturne in your environment."""
import logging
import multiprocessin... | 3,205 | 30.431373 | 84 | py |
nocturne | nocturne-main/cfgs/config.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Set path to all the Waymo data and the parsed Waymo files."""
import os
from pathlib import Path
from hydra import com... | 1,939 | 35.603774 | 88 | py |
nocturne | nocturne-main/examples/create_env.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Test step and rendering functions."""
import hydra
from cfgs.config import set_display_window
from nocturne import Act... | 1,824 | 36.244898 | 74 | py |
nocturne | nocturne-main/examples/rendering.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Example of how to make movies of Nocturne scenarios."""
import os
import hydra
import imageio
import matplotlib.pyplot... | 6,141 | 28.960976 | 77 | py |
nocturne | nocturne-main/examples/nocturne_functions.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Example of how to make movies of Nocturne scenarios."""
import os
import hydra
import matplotlib.pyplot as plt
import ... | 5,998 | 43.768657 | 83 | py |
nocturne | nocturne-main/examples/imitation_learning/waymo_data_loader.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Dataloader for imitation learning in Nocturne."""
from collections import defaultdict
import random
import torch
from ... | 8,395 | 40.564356 | 97 | py |
nocturne | nocturne-main/examples/imitation_learning/model.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Model for an imitation learning agent."""
import torch
from torch import nn
from torch.distributions.multivariate_norma... | 6,354 | 39.221519 | 103 | py |
nocturne | nocturne-main/examples/imitation_learning/filters.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""A streaming mean-std filter used to whiten inputs."""
import torch
from torch import nn
class MeanStdFilter(nn.Module... | 2,385 | 28.825 | 77 | py |
nocturne | nocturne-main/examples/imitation_learning/train.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Imitation learning training script (behavioral cloning)."""
from datetime import datetime
from pathlib import Path
impo... | 9,424 | 35.111111 | 79 | py |
nocturne | nocturne-main/examples/imitation_learning/replay_video.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Replay a video of a trained controller."""
from collections import defaultdict
import json
from pathlib import Path
imp... | 8,334 | 43.572193 | 86 | py |
nocturne | nocturne-main/examples/sample_factory_files/visualize_sample_factory.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Use to create movies of trained policies."""
import argparse
from collections import deque
import json
import sys
impor... | 11,171 | 39.923077 | 116 | py |
nocturne | nocturne-main/examples/sample_factory_files/run_sample_factory.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Runner script for sample factory.
To run in single agent mode on one file for testing.
python -m run_sample_factory a... | 14,308 | 39.535411 | 120 | py |
nocturne | nocturne-main/examples/sample_factory_files/results/plot_successes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Util for plotting eval_sample_factory.py output."""
import matplotlib.pyplot as plt
import numpy as np
if __name__ == ... | 1,625 | 40.692308 | 75 | py |
nocturne | nocturne-main/examples/rllib_files/run_rllib.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Example run script for RLlib."""
import os
import hydra
from omegaconf import OmegaConf
from cfgs.config import set_di... | 5,607 | 31.229885 | 84 | py |
nocturne | nocturne-main/examples/on_policy_files/nocturne_runner.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
"""Runner for PPO from https://github.com/marlbenchmark/on... | 21,461 | 37.120782 | 117 | py |
nocturne | nocturne-main/algos/ppo/env_wrappers.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
"""
Modified from OpenAI Baselines code to work with multi... | 29,079 | 32.502304 | 99 | py |
nocturne | nocturne-main/algos/ppo/__init__.py | 0 | 0 | 0 | py | |
nocturne | nocturne-main/algos/ppo/base_runner.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import wandb
import os
import numpy as np
import torch
fro... | 7,111 | 38.292818 | 84 | py |
nocturne | nocturne-main/algos/ppo/r_mappo/r_mappo.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import numpy as np
import torch
import torch.nn as nn
from... | 10,421 | 41.538776 | 116 | py |
nocturne | nocturne-main/algos/ppo/r_mappo/__init__.py | 0 | 0 | 0 | py | |
nocturne | nocturne-main/algos/ppo/r_mappo/algorithm/r_actor_critic.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
import torch.nn as nn
from algos.ppo.ppo_util... | 8,798 | 43.439394 | 121 | py |
nocturne | nocturne-main/algos/ppo/r_mappo/algorithm/rMAPPOPolicy.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
from algos.ppo.r_mappo.algorithm.r_actor_crit... | 7,556 | 47.133758 | 120 | py |
nocturne | nocturne-main/algos/ppo/utils/multi_discrete.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import gym
import numpy as np
# An old version of OpenAI... | 2,738 | 45.423729 | 198 | py |
nocturne | nocturne-main/algos/ppo/utils/valuenorm.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import numpy as np
import torch
import torch.nn as nn
c... | 3,604 | 35.785714 | 85 | py |
nocturne | nocturne-main/algos/ppo/utils/shared_buffer.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
import numpy as np
from algos.ppo.utils.util ... | 29,299 | 49.08547 | 120 | py |
nocturne | nocturne-main/algos/ppo/utils/util.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import numpy as np
import math
import torch
def check(in... | 2,524 | 28.360465 | 75 | py |
nocturne | nocturne-main/algos/ppo/utils/separated_buffer.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
import numpy as np
from collections import de... | 24,402 | 47.227273 | 231 | py |
nocturne | nocturne-main/algos/ppo/utils/__init__.py | 0 | 0 | 0 | py | |
nocturne | nocturne-main/algos/ppo/ppo_utils/distributions.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
import torch.nn as nn
from .util import init
... | 4,168 | 26.427632 | 85 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/cnn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
from torchvision import transforms
import torch.nn as nn
f... | 2,471 | 29.518519 | 78 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/mlp.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch.nn as nn
from .util import init, get_clones
"... | 2,308 | 32.463768 | 77 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/encoder.py | 0 | 0 | 0 | py | |
nocturne | nocturne-main/algos/ppo/ppo_utils/popart.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import math
import numpy as np
import torch
import torch.n... | 4,510 | 36.280992 | 79 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/util.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import copy
import numpy as np
import torch
import torch.... | 690 | 25.576923 | 76 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/act.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
from .distributions import Bernoulli, Categorical, DiagGau... | 8,915 | 43.58 | 99 | py |
nocturne | nocturne-main/algos/ppo/ppo_utils/rnn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Code modified from https://github.com/marlbenchmark/on-policy
import torch
import torch.nn as nn
"""RNN modules."""
cl... | 3,188 | 34.043956 | 88 | py |
nocturne | nocturne-main/nocturne/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Import file for Nocturne objects."""
from nocturne_cpp import (Action, CollisionType, ObjectType, Object, RoadLine,
... | 963 | 29.125 | 82 | py |
nocturne | nocturne-main/nocturne/envs/base_env.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Default environment for Nocturne."""
from typing import Any, Dict, Sequence, Union
from collections import defaultdict... | 26,180 | 46.088129 | 113 | py |
nocturne | nocturne-main/nocturne/envs/wrappers.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Wrappers and env constructors for the environments."""
from gym.spaces import Box
import numpy as np
from nocturne.env... | 3,370 | 30.212963 | 96 | py |
nocturne | nocturne-main/nocturne/envs/__init__.py | """Import file for tests."""
from nocturne.envs.base_env import BaseEnv
__all__ = [
"BaseEnv",
]
| 102 | 13.714286 | 42 | py |
nocturne | nocturne-main/nocturne/utils/eval/average_displacement.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Average displacement error computation."""
from collections import defaultdict
from itertools import repeat
import json... | 9,552 | 41.0837 | 93 | py |
nocturne | nocturne-main/nocturne/utils/eval/goal_reaching_rate.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Goal reaching rate computation."""
from pathlib import Path
import numpy as np
import torch
from nocturne import Simul... | 4,169 | 37.611111 | 96 | py |
nocturne | nocturne-main/nocturne/utils/eval/collision_rate.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Collision rate computation."""
from pathlib import Path
import numpy as np
import torch
from nocturne import Simulatio... | 4,539 | 40.651376 | 113 | py |
nocturne | nocturne-main/nocturne/utils/eval/goal_by_intersection.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Goal reaching rate and collision rate computation as a function of number of intersections in expert trajectory."""
fro... | 10,583 | 39.707692 | 118 | py |
nocturne | nocturne-main/scripts/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Storage for SLURM running utilities."""
class Overrides(object):
"""Utility class used to convert commands into a... | 843 | 30.259259 | 77 | py |
nocturne | nocturne-main/scripts/visualization/visualize_waymo_map.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Plot the text file representation of a protobuf."""
import matplotlib.patches as mpatches
import matplotlib.pyplot as p... | 5,023 | 31.205128 | 107 | py |
nocturne | nocturne-main/scripts/visualization/waymo_movie.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Make a movie from a random file."""
import os
import hydra
import imageio
import matplotlib.pyplot as plt
import numpy... | 1,378 | 27.729167 | 84 | py |
nocturne | nocturne-main/scripts/cluster_scripts/run_sample_factory_cluster.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run sample factory experiments on a SLURM cluster."""
import argparse
import os
import pathlib
import shutil
from datet... | 3,119 | 30.836735 | 82 | py |
nocturne | nocturne-main/scripts/cluster_scripts/run_rllib_cluster.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run rllib experiments on a SLURM cluster."""
import argparse
import os
import pathlib
import shutil
from datetime impor... | 2,735 | 28.73913 | 82 | py |
nocturne | nocturne-main/scripts/cluster_scripts/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Storage for SLURM running utilities."""
class Overrides(object):
"""Utility class used to convert commands into a... | 843 | 30.259259 | 77 | py |
nocturne | nocturne-main/scripts/cluster_scripts/run_ppo_cluster.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run on-policy PPO experiments on a SLURM cluster."""
import argparse
import os
import pathlib
import shutil
from dateti... | 3,396 | 31.663462 | 82 | py |
nocturne | nocturne-main/scripts/cluster_scripts/run_imitation_cluster.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run sample factory experiments on a SLURM cluster."""
import argparse
import os
import pathlib
import shutil
from date... | 3,004 | 29.663265 | 82 | py |
nocturne | nocturne-main/scripts/data_analysis/data_analysis.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Utils that we use to understand the datasets we are working with."""
import os
import hydra
import matplotlib.pyplot a... | 5,126 | 38.137405 | 82 | py |
nocturne | nocturne-main/scripts/data_analysis/speed_test.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Utils that we use to understand the datasets we are working with."""
import json
import os
import time
import hydra
im... | 1,937 | 33 | 84 | py |
nocturne | nocturne-main/scripts/data_analysis/corner_case_search.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run through the data to look for cases where there are undesirable corner cases.
The cases we currently check for are:... | 6,273 | 43.496454 | 102 | py |
nocturne | nocturne-main/scripts/json_generation/make_solvable_files.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Find all cases where collisions are required to achieve the goal.
Due to errors in Waymo labeling, some space that is ... | 6,495 | 37.898204 | 92 | py |
nocturne | nocturne-main/scripts/json_generation/waymo_scenario_construction.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Construct a scenarios.json file from a waymos protobuf."""
from collections import defaultdict
import math
import json... | 6,947 | 32.403846 | 97 | py |
nocturne | nocturne-main/scripts/json_generation/run_waymo_constructor.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Utils for converting TFRecords into Nocturne compatible JSON."""
import argparse
from pathlib import Path
import os
imp... | 4,662 | 36.910569 | 83 | py |
nocturne | nocturne-main/scripts/paper_plots/eval_sample_factory.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run a policy over the entire train set.
TODO(ev) refactor, this is wildly similar to visualize_sample_factory
"""
fro... | 61,047 | 45.318665 | 118 | py |
nocturne | nocturne-main/scripts/paper_plots/eval_il_agents.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Run script that generates summary statistics for a folder of IL agents."""
import json
import os
import numpy as np
im... | 2,665 | 40.65625 | 114 | py |
nocturne | nocturne-main/scripts/paper_plots/create_zsc_plot.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Utilities for plotting ZSC results."""
import os
import matplotlib.pyplot as plt
import numpy as np
def create_heat_... | 3,813 | 37.918367 | 99 | py |
nocturne | nocturne-main/scripts/paper_plots/generate_scenes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Example of how to make movies of Nocturne scenarios."""
import hydra
import imageio
import matplotlib.pyplot as plt
imp... | 5,323 | 33.797386 | 79 | py |
nocturne | nocturne-main/tests/test_dynamics.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Test expert action computation from inverse dynamics."""
from hydra.core.global_hydra import GlobalHydra
from hydra imp... | 3,137 | 37.740741 | 81 | py |
nocturne | nocturne-main/tests/test_config.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Test configurations passed to the scenario."""
from hydra.core.global_hydra import GlobalHydra
from hydra import compos... | 1,705 | 32.45098 | 73 | py |
nocturne | nocturne-main/tests/test_rl_env.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Test step and rendering functions."""
import time
import os
from hydra import compose, initialize
from hydra.core.glob... | 2,294 | 34.859375 | 78 | py |
nocturne | nocturne-main/tests/test_simulation_functions.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Test that all available environment calls work + check collisions are recorded correctly."""
import os
from hydra.core... | 7,339 | 43.484848 | 107 | py |
E2E-TBSA | E2E-TBSA-master/main.py | import argparse
from model import *
from utils import *
from evals import evaluate
import random
import os
separator = '========================================================================================'
def run(dataset, model, params):
"""
run the experiment
:param dataset: dataset
:param model... | 13,387 | 47.683636 | 197 | py |
E2E-TBSA | E2E-TBSA-master/utils.py | import string
from nltk import ngrams
import numpy as np
# DO NOT change the random seed, otherwise, the train-test split will be inconsistent with those in the baselines
np.random.seed(7894)
import os
import pickle
def ot2bio_ote(ote_tag_sequence):
"""
ot2bio function for ote tag sequence
:param ote_tag_... | 32,288 | 32.810471 | 113 | py |
E2E-TBSA | E2E-TBSA-master/model.py | import dynet_config
dynet_config.set(mem='4096', random_seed=1314159)
import dynet as dy
import random
from utils import *
from evals import *
from nltk import word_tokenize
def norm_vec(vec):
"""
normalize a dynet vector expression
:param vec:
:return:
"""
sum_item = dy.sum_elems(vec)
nor... | 29,635 | 39.990318 | 117 | py |
E2E-TBSA | E2E-TBSA-master/process_data.py | # coding: UTF-8
__author__ = 'lixin77'
from scrapy.selector import Selector
#import cPickle
import nltk
from nltk import word_tokenize
import sys
import string
def process_text(text):
"""
process the text and filter some special symbol
:param text:
:return:
"""
# string preprocessing and aspec... | 9,144 | 34.583658 | 112 | py |
E2E-TBSA | E2E-TBSA-master/config.py | laptop14 = {
"dim_ote_h": 50,
"dim_ts_h": 50,
"input_win": 1,
"stm_win": 3,
"optimizer": "adam",
"n_epoch": 30,
"dropout": 0.5,
"tagging_schema": "BIEOS",
"lr_decay": 0.05,
"use_char": 0,
"dynet_seed": 1314159,
"random_seem": 13456,
"epsilon": 0.5
}
rest_total = {
... | 906 | 18.297872 | 30 | py |
E2E-TBSA | E2E-TBSA-master/evals.py | from utils import *
import numpy as np
SMALL_POSITIVE_CONST = 1e-4
def evaluate_ote(gold_ot, pred_ot):
"""
evaluate the model performce for the ote task
:param gold_ot: gold standard ote tags
:param pred_ot: predicted ote tags
:return:
"""
assert len(gold_ot) == len(pred_ot)
n_samples ... | 5,028 | 36.251852 | 111 | py |
fork--wilds-public | fork--wilds-public-main/setup.py | import setuptools
import os
import sys
here = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, os.path.join(here, 'wilds'))
from version import __version__
print(f'Version {__version__}')
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="w... | 1,281 | 28.136364 | 128 | py |
fork--wilds-public | fork--wilds-public-main/examples/losses.py | import torch.nn as nn
from wilds.common.metrics.loss import ElementwiseLoss, Loss, MultiTaskLoss
from wilds.common.metrics.all_metrics import MSE
def initialize_loss(config, d_out):
if config.loss_function == 'cross_entropy':
return ElementwiseLoss(loss_fn=nn.CrossEntropyLoss(reduction='none'))
elif c... | 939 | 38.166667 | 87 | py |
fork--wilds-public | fork--wilds-public-main/examples/evaluate.py | import argparse
import json
import os
import urllib.request
from ast import literal_eval
from typing import Dict, List
from urllib.parse import urlparse
import numpy as np
import torch
from wilds import benchmark_datasets
from wilds import get_dataset
from wilds.datasets.wilds_dataset import WILDSDataset, WILDSSubset... | 9,843 | 33.784452 | 124 | py |
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