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 |
|---|---|---|---|---|---|---|
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/sequence_classifier.py | import logging
import os
import cudf
from cudf.core.subword_tokenizer import SubwordTokenizer
import cupy
import torch
from clx.utils.data.dataloader import DataLoader
from clx.utils.data.dataset import Dataset
from torch.utils.dlpack import to_dlpack
from tqdm import trange
from torch.optim import AdamW
from abc imp... | 8,757 | 35.953586 | 256 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/stats.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 2,265 | 23.630435 | 80 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/periodicity_detection.py | import cupy as cp
def to_periodogram(signal):
"""
Returns periodogram of signal for finding frequencies that have high energy.
:param signal: signal (time domain)
:type signal: cudf.Series
:return: CuPy array representing periodogram
:rtype: cupy.ndarray
"""
# convert cudf series to ... | 1,507 | 24.133333 | 111 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/cybert.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 9,636 | 36.644531 | 99 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/detector.py | import logging
import torch
import torch.nn as nn
from abc import ABC, abstractmethod
log = logging.getLogger(__name__)
GPU_COUNT = torch.cuda.device_count()
class Detector(ABC):
def __init__(self, lr=0.001):
self.lr = lr
self._model = None
self._optimizer = None
self._criterion ... | 2,728 | 25.495146 | 92 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/perfect_hash.py | import numpy as np
import argparse
np.random.seed(1243342)
PRIME = np.uint64(281474976710677)
# Coefficients ranges for inner hash - This are important to set to be
# large so that we have randomness in the bottom bits when modding
A_SECOND_LEVEL_POW = np.uint8(48)
B_SECOND_LEVEL_POW = np.uint8(7)
A_LBOUND_SECOND_L... | 7,731 | 34.145455 | 149 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/anomaly_detection.py | import cudf
import cuml
def dbscan(feature_dataframe, min_samples=3, eps=0.3):
"""
Pass a feature dataframe to this function to detect anomalies in your feature dataframe. This function uses ``cuML`` DBSCAN to detect anomalies
and outputs associated labels 0,1,-1.
Parameters
----------
:param... | 1,563 | 33.755556 | 147 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/loda.py | import cupy as cp
class Loda:
"""
Anomaly detection using Lightweight Online Detector of Anomalies (LODA). LODA detects anomalies in a dataset
by computing the likelihood of data points using an ensemble of one-dimensional histograms.
:param n_bins: Number of bins for each histogram. If None a heuris... | 7,680 | 39.856383 | 112 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/dga_detector.py | import cudf
import torch
import logging
from tqdm import trange
from torch.utils.dlpack import from_dlpack
from clx.utils.data import utils
from clx.analytics.detector import Detector
from clx.utils.data.dataloader import DataLoader
from clx.analytics.dga_dataset import DGADataset
from clx.analytics.model.rnn_classifie... | 10,504 | 38.197761 | 189 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/multiclass_sequence_classifier.py | import logging
import cudf
from cudf.core.subword_tokenizer import SubwordTokenizer
import cupy
import torch
import torch.nn as nn
from torch.utils.dlpack import to_dlpack
from clx.analytics.sequence_classifier import SequenceClassifier
from clx.utils.data.dataloader import DataLoader
from clx.utils.data.dataset impor... | 3,867 | 38.876289 | 256 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/model/rnn_classifier.py | # Original code at https://github.com/spro/practical-pytorch
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence
DROPOUT = 0.0
class RNNClassifier(nn.Module):
def __init__(
self, input_size, hidden_size, output_size, n_layers, bidirectional=True
):
super(RNN... | 2,067 | 31.3125 | 82 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/model/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/analytics/model/tabular_model.py | # Original code at https://github.com/spro/practical-pytorch
import torch
import torch.nn as nn
class TabularModel(nn.Module):
"Basic model for tabular data"
def __init__(self, emb_szs, n_cont, out_sz, layers, drops,
emb_drop, use_bn, is_reg, is_multi):
super().__init__()
se... | 1,858 | 38.553191 | 116 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/utils/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/utils/data/dataloader.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 1,779 | 31.363636 | 102 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/utils/data/utils.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 1,846 | 33.203704 | 133 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/utils/data/dataset.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 968 | 27.5 | 74 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/utils/data/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/heuristics/ports.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 4,278 | 34.957983 | 124 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/heuristics/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/workflow/splunk_alert_workflow.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 4,970 | 34.007042 | 112 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/workflow/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/workflow/netflow_workflow.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 952 | 34.296296 | 74 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/workflow/workflow.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 7,402 | 35.112195 | 122 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/parsers/event_parser.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 3,949 | 33.649123 | 156 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/parsers/windows_event_parser.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 4,209 | 36.927928 | 107 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/parsers/splunk_notable_parser.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 3,763 | 40.822222 | 119 | py |
clx-branch-23.04 | clx-branch-23.04/python/clx/parsers/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/python/clx/parsers/zeek.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 1,809 | 27.730159 | 122 | py |
clx-branch-23.04 | clx-branch-23.04/docs/source/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 5,409 | 28.725275 | 89 | py |
clx-branch-23.04 | clx-branch-23.04/notebooks/ids_detection/util.py | import numpy as np
from cuml.metrics import precision_recall_curve, roc_auc_score
from sklearn.metrics import roc_curve
import cupy as cp
import matplotlib.pylab as plt
def average_precision_score(y_true, y_score):
"""
Compute average precision score using precision and recall computed from cuml.
"""
... | 2,069 | 38.807692 | 88 | py |
clx-branch-23.04 | clx-branch-23.04/ci/utils/nbtestlog2junitxml.py | # Generate a junit-xml file from parsing a nbtest log
import re
from xml.etree.ElementTree import Element, ElementTree
from os import path
import string
from enum import Enum
startingPatt = re.compile("^STARTING: ([\w\.\-]+)$")
skippingPatt = re.compile("^SKIPPING: ([\w\.\-]+)\s*(\(([\w\.\-\ \,]+)\))?\s*$")
exitCode... | 5,526 | 32.907975 | 141 | py |
clx-branch-23.04 | clx-branch-23.04/ci/integration_tests/run_integration_test.py | import sys
import time
import logging
import threading
from confluent_kafka.admin import (
AdminClient,
NewTopic,
NewPartitions,
ConfigResource,
ConfigSource,
)
from confluent_kafka import Producer, Consumer
from clx.workflow import netflow_workflow
logging.basicConfig(stream=sys.stdout, level=logg... | 5,141 | 31.751592 | 111 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query/bin/clx_query.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 2,076 | 30.469697 | 82 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query/bin/clx_query_conf.py | import splunk.admin as admin
import splunk.entity as en
"""
Copyright (C) 2005 - 2010 Splunk Inc. All Rights Reserved.
Description: This skeleton python script handles the parameters in the configuration page.
handleList method: lists configurable parameters in the configuration page
corresponds to handl... | 1,473 | 30.361702 | 94 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/manage.py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "clx_query_service.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
ra... | 637 | 28 | 81 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/blazingsql_helper.py | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 2,049 | 32.064516 | 81 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/tests.py | from django.test import TestCase
# Create your tests here.
| 60 | 14.25 | 32 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/views.py | import re
import os
import logging
from clxquery import utils
from clxquery.blazingsql_helper import BlazingSQLHelper
from django.http import HttpResponse, JsonResponse
from rest_framework.generics import CreateAPIView
log = logging.getLogger(__name__)
class ExecuteClxQuery(CreateAPIView):
file_path = os.enviro... | 2,655 | 44.016949 | 194 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/utils.py | # Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 753 | 28 | 74 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/admin.py | from django.contrib import admin
# Register your models here.
| 63 | 15 | 32 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/models.py | from django.db import models
# Create your models here.
| 57 | 13.5 | 28 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/apps.py | from django.apps import AppConfig
class ClxQueryConfig(AppConfig):
name = "clxquery"
| 91 | 14.333333 | 33 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/urls.py | from django.conf.urls import re_path
from clxquery import views
urlpatterns = [re_path("clxquery/$", views.ExecuteClxQuery.as_view())] | 135 | 33 | 70 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clxquery/migrations/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clx_query_service/settings.py | """
Django settings for clx_query_service project.
Generated by 'django-admin startproject' using Django 2.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
im... | 3,140 | 25.846154 | 90 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clx_query_service/wsgi.py | """
WSGI config for clx_query_service project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJ... | 411 | 23.235294 | 78 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clx_query_service/__init__.py | 0 | 0 | 0 | py | |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/clx_query_service/clx_query_service/urls.py | from django.urls import path, include
urlpatterns = [path("", include("clxquery.urls"))]
| 90 | 21.75 | 50 | py |
clx-branch-23.04 | clx-branch-23.04/siem_integrations/splunk2kafka/export2kafka/bin/export2kafka.py | from __future__ import print_function
import sys
import json
#import pprint
from splunklib.searchcommands import dispatch, StreamingCommand, Configuration, Option
from confluent_kafka import Producer
import confluent_kafka
import time
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
@Configura... | 2,439 | 33.857143 | 93 | py |
Most-frequented-locations | Most-frequented-locations-master/MFL.py | """
Extract Home and Work locations from individual spatio-temporal trajectories
This script returns the location most frequented by an individual (called MFL) during weekdays' daytime and nighttime
according to a certain time window. The MFL during a given time windows is defined as the location in which
the individ... | 15,425 | 40.579515 | 142 | py |
material-failure-prediction | material-failure-prediction-main/run_DML.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import scipy.io as sio
import numpy as np
from PIL import Image
from DML import DML
def read_image_as_tensor(filename):
"""
This function converts JPG image to numpy matrix format
:param filename:... | 1,022 | 25.230769 | 63 | py |
material-failure-prediction | material-failure-prediction-main/run_PH.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import imageio
import numpy as np
import homcloud.interface as hc
import scipy.io as sio
import os
from CT_utils import CT_utils
from CT_utils import ImageTDA
from sklearn.preprocessing import MinMaxScaler
de... | 6,941 | 30.554545 | 107 | py |
material-failure-prediction | material-failure-prediction-main/CT_utils.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from PIL import Image
import imageio
import numpy as np
import homcloud.interface as hc
from scipy.stats import gaussian_kde
import matplotlib.pyplot as plt
import matplotlib.colors as colors
class CT_utils(o... | 5,560 | 32.299401 | 115 | py |
material-failure-prediction | material-failure-prediction-main/DML.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
import tensorflow.python.util.deprecation as deprecation
# Hide all the warning messages from TensorFlow
deprecation._PRINT_DEPRECATION_WARNINGS = False
os.environ['TF_CPP_MIN... | 1,447 | 30.478261 | 68 | py |
pdarts | pdarts-master/test.py | import os
import sys
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import genotypes
import torch.utils
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
from model import NetworkCIFAR as Network
parser = argparse.ArgumentParser("c... | 3,279 | 31.475248 | 100 | py |
pdarts | pdarts-master/train_imagenet.py | import os
import sys
import numpy as np
import time
import torch
import utils
import glob
import random
import logging
import argparse
import torch.nn as nn
import genotypes
import torch.utils
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
from torc... | 10,818 | 38.922509 | 127 | py |
pdarts | pdarts-master/utils.py | import os
import numpy as np
import torch
import shutil
import torchvision.transforms as transforms
from torch.autograd import Variable
class AvgrageMeter(object):
def __init__(self):
self.reset()
def reset(self):
self.avg = 0
self.sum = 0
self.cnt = 0
def update(self, val, n=1):
self.sum... | 3,652 | 24.907801 | 105 | py |
pdarts | pdarts-master/model.py | import torch
import torch.nn as nn
from operations import *
from torch.autograd import Variable
from utils import drop_path
class Cell(nn.Module):
def __init__(self, genotype, C_prev_prev, C_prev, C, reduction, reduction_prev):
super(Cell, self).__init__()
if reduction_prev:
self.prep... | 7,284 | 34.710784 | 95 | py |
pdarts | pdarts-master/model_search.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from operations import *
from torch.autograd import Variable
from genotypes import PRIMITIVES
from genotypes import Genotype
class MixedOp(nn.Module):
def __init__(self, C, stride, switch, p):
super(MixedOp, self).__ini... | 6,003 | 34.738095 | 147 | py |
pdarts | pdarts-master/train_search.py | import os
import sys
import time
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
import copy
from model_search import Network
from gen... | 19,015 | 39.545842 | 215 | py |
pdarts | pdarts-master/test_imagenet.py | import os
import sys
import numpy as np
import torch
import utils
import glob
import random
import logging
import argparse
import torch.nn as nn
import genotypes
import torch.utils
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
from model import Net... | 3,334 | 31.378641 | 116 | py |
pdarts | pdarts-master/train_cifar.py | import os
import sys
import time
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import genotypes
import torch.utils
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
from torch.autograd import Variable
from model import NetworkCIFAR ... | 7,688 | 39.68254 | 113 | py |
pdarts | pdarts-master/visualize.py | import sys
import genotypes
from graphviz import Digraph
def plot(genotype, filename):
g = Digraph(
format='pdf',
edge_attr=dict(fontsize='20', fontname="times"),
node_attr=dict(style='filled', shape='rect', align='center', fontsize='20', height='0.5', width='0.5', penwidth='2', fontname="times"),... | 1,419 | 24.357143 | 141 | py |
pdarts | pdarts-master/genotypes.py | from collections import namedtuple
Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')
PRIMITIVES = [
'none',
'max_pool_3x3',
'avg_pool_3x3',
'skip_connect',
'sep_conv_3x3',
'sep_conv_5x5',
'dil_conv_3x3',
'dil_conv_5x5'
]
NASNet = Genotype(
normal = [
... | 2,818 | 34.2375 | 429 | py |
pdarts | pdarts-master/operations.py | import torch
import torch.nn as nn
OPS = {
'none' : lambda C, stride, affine: Zero(stride),
'avg_pool_3x3' : lambda C, stride, affine: nn.AvgPool2d(3, stride=stride, padding=1, count_include_pad=False),
'max_pool_3x3' : lambda C, stride, affine: nn.MaxPool2d(3, stride=stride, padding=1),
'skip_connect' : lambd... | 4,144 | 32.97541 | 129 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/run_exp.py | ##########################################################
# pytorch-kaldi-gan
# Walter Heymans
# North West University
# 2020
# Adapted from:
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
from __futur... | 33,246 | 35.216776 | 152 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/quaternion_neural_networks.py | ##########################################################
# Quaternion Neural Networks
# Titouan Parcollet, Xinchi Qiu, Mirco Ravanelli
# University of Oxford and Mila, University of Montreal
# May 2020
##########################################################
import torch
import torch.nn.functional as F
import torc... | 24,754 | 37.20216 | 135 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/resample_files.py | import torch
import torchaudio
import numpy as np
import matplotlib.pyplot as plt
import configparser
import os
import sys
import random
import shutil
# Reading global cfg file (first argument-mandatory file)
cfg_file = sys.argv[1]
if not (os.path.exists(cfg_file)):
sys.stderr.write("ERROR: The config file %s does... | 1,528 | 26.303571 | 107 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/core.py | ##########################################################
# pytorch-kaldi-gan
# Walter Heymans
# North West University
# 2020
# Adapted from:
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
import sys
... | 22,371 | 33.793157 | 138 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/neural_networks.py | ##########################################################
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
import torch
import torch.nn.functional as F
import torch.nn as nn
import numpy as np
from dist... | 73,602 | 34.049048 | 226 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/multistyle_training.py | from augmentation_utils import *
import configparser
import sox
import logging
logging.getLogger('sox').setLevel(logging.ERROR)
# Reading global cfg file (first argument-mandatory file)
cfg_file = sys.argv[1]
if not (os.path.exists(cfg_file)):
sys.stderr.write("ERROR: The config file %s does not exist!\n" % (cfg_... | 4,581 | 34.796875 | 111 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/utils.py | ##########################################################
# pytorch-kaldi-gan
# Walter Heymans
# North West University
# 2020
# Adapted from:
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
import conf... | 110,615 | 36.598912 | 206 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/train_gan.py | ##########################################################
# pytorch-kaldi-gan
# Walter Heymans
# North West University
# 2020
##########################################################
import sys
import configparser
import os
import time
import numpy
import numpy as np
import random
import torch
import torch.nn.func... | 44,242 | 36.621599 | 191 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/gan_networks.py | import torch
import torch.nn as nn
from distutils.util import strtobool
from torch.nn.utils import spectral_norm
import math
class LayerNorm(nn.Module):
def __init__(self, features, eps=1e-6):
super(LayerNorm, self).__init__()
self.gamma = nn.Parameter(torch.ones(features))
self.beta = nn.... | 20,229 | 32.001631 | 111 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/tune_hyperparameters.py | #!/usr/bin/env python
##########################################################
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
#
# Description:
# This scripts generates config files with the random hyperparamters specified by the user.
# python tune_hyperparame... | 3,100 | 35.916667 | 229 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/weights_and_biases.py | ##########################################################
# pytorch-kaldi-gan v.1.0
# Walter Heymans
# North West University
# 2020
##########################################################
import wandb
import yaml
import os
from sys import exit
def initialize_wandb(project, config, directory, resume, identity = ""... | 1,414 | 22.983051 | 83 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/audio_processing.py | import torch
import torchaudio
import numpy as np
import matplotlib.pyplot as plt
import configparser
import os
import sys
import random
import shutil
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.spectral_norm as spectral_norm
# Reading global cfg file (first argument-mandatory file)
cf... | 18,066 | 35.061876 | 144 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/data_io.py | ##########################################################
# pytorch-kaldi-gan
# Walter Heymans
# North West University
# 2020
# Adapted from:
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
import nump... | 55,933 | 36.767725 | 142 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/parallel_dataset.py | import configparser
import sox
import logging
import torch
import torchaudio
import numpy as np
import matplotlib.pyplot as plt
import os
import random
import shutil
import subprocess
import shlex
import sys
import math
def validate_dir(dir_list):
''' Remove hidden files from directory list '''
for dir in dir... | 17,550 | 34.031936 | 143 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/plot_acc_and_loss.py | ##########################################################
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
##########################################################
import sys
import configparser
import os
from utils import create_curves
# Checking arguments
i... | 1,203 | 30.684211 | 120 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/save_raw_fea.py | ##########################################################
# pytorch-kaldi v.0.1
# Mirco Ravanelli, Titouan Parcollet
# Mila, University of Montreal
# October 2018
#
# Description: This script generates kaldi ark files containing raw features.
# The file list must be a file containing "snt_id file.wav".
# Note that onl... | 4,010 | 31.877049 | 119 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/reverse_arpa.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2012 Mirko Hannemann BUT, mirko.hannemann@gmail.com
import sys
import codecs # for UTF-8/unicode
if len(sys.argv) != 2:
print 'usage: reverse_arpa arpa.in'
sys.exit()
arpaname = sys.argv[1]
#\data\
#ngram 1=4
#ngram 2=2
#ngram 3=2
#
#\1-grams:
#-5.234... | 5,846 | 29.936508 | 107 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/filt.py | #!/usr/bin/env python
# Apache 2.0
from __future__ import print_function
import sys
vocab = set()
with open(sys.argv[1]) as vocabfile:
for line in vocabfile:
vocab.add(line.strip())
with open(sys.argv[2]) as textfile:
for line in textfile:
print(" ".join(map(lambda word: word if word in voca... | 360 | 21.5625 | 99 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/make_nnet_proto.py | #!/usr/bin/env python
# Copyright 2014 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 12,177 | 33.498584 | 161 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/gen_dct_mat.py | #!/usr/bin/env python
# Copyright 2012 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 2,057 | 29.264706 | 98 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/make_cnn2d_proto.py | #!/usr/bin/python
# Copyright 2014 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# TH... | 12,637 | 30.994937 | 212 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/gen_hamm_mat.py | #!/usr/bin/env python
# Copyright 2012 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 1,639 | 27.77193 | 83 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/make_blstm_proto.py | #!/usr/bin/env python
# Copyright 2015 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 3,637 | 33.320755 | 111 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/make_lstm_proto.py | #!/usr/bin/env python
# Copyright 2015 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 3,614 | 33.103774 | 111 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/gen_splice.py | #!/usr/bin/env python
# Copyright 2012 Brno University of Technology (author: Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 1,730 | 29.368421 | 128 | py |
pytorch-kaldi-gan | pytorch-kaldi-gan-master/kaldi_decoding_scripts/utils/nnet/make_cnn_proto.py | #!/usr/bin/env python
# Copyright 2014 Brno University of Technology (author: Katerina Zmolikova, Karel Vesely)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lic... | 8,528 | 31.553435 | 166 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/src/Make.py | #!/usr/bin/env python
# if necessary, edit preceding line to point to your Python
# or launch as "python Make.py ..."
# Purpose: manage LAMMPS packages, external libraries, and builds
# create a version of LAMMPS specific to an input script(s)
# Syntax: Make.py switch args ...
# Help: type Make.py or Make.py ... | 27,648 | 30.383655 | 80 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/python/install.py | #!/usr/bin/env python
# copy LAMMPS src/liblammps.so and lammps.py to system dirs
instructions = """
Syntax: python install.py [-h] [libdir] [pydir]
libdir = target dir for src/liblammps.so, default = /usr/local/lib
pydir = target dir for lammps.py, default = Python site-packages dir
"""
import sys,o... | 2,034 | 28.926471 | 78 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/python/lammps.py | # ----------------------------------------------------------------------
# LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
# http://lammps.sandia.gov, Sandia National Laboratories
# Steve Plimpton, sjplimp@sandia.gov
#
# Copyright (2003) Sandia Corporation. Under the terms of Contract
# DE... | 6,013 | 34.797619 | 78 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/python/examples/vizplotgui_atomeye.py | #!/usr/bin/env python -i
# preceeding line should have path for Python on your machine
# vizplotgui_atomeye.py
# Purpose: viz running LAMMPS simulation via AtomEye with plot and GUI
# Syntax: vizplotgui_atomeye.py in.lammps Nfreq compute-ID
# in.lammps = LAMMPS input script
# Nfreq = plot data point... | 4,459 | 25.86747 | 75 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/python/examples/viz_gl.py | #!/usr/bin/env python -i
# preceeding line should have path for Python on your machine
# viz_gl.py
# Purpose: viz running LAMMPS simulation via GL tool in Pizza.py
# Syntax: viz_gl.py in.lammps Nfreq Nsteps
# in.lammps = LAMMPS input script
# Nfreq = dump and viz shapshot every this many steps
# ... | 1,846 | 20.988095 | 74 | py |
LIGGGHTS-WITH-BONDS | LIGGGHTS-WITH-BONDS-master/python/examples/simple.py | #!/usr/bin/env python -i
# preceeding line should have path for Python on your machine
# simple.py
# Purpose: mimic operation of couple/simple/simple.cpp via Python
# Syntax: simple.py in.lammps
# in.lammps = LAMMPS input script
import sys
# parse command line
argv = sys.argv
if len(argv) != 2:
print "S... | 1,041 | 19.431373 | 65 | py |
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