repo_name stringlengths 7 79 | path stringlengths 5 167 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 965 433k | license stringclasses 15
values |
|---|---|---|---|---|---|
COHRINT/cops_and_robots | src/cops_and_robots/helpers/visualizations.py | 1 | 3212 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
def plot_multisurface(X, Y, Z, ax, cmaps=None, min_alpha=0.6, **kwargs):
num_surfs = Z.shape[2]
if cmaps == None:
cmaps = ['Greys', 'Reds', 'Purples', 'Oranges', 'Greens', 'Blues',
'RdPu']
... | apache-2.0 |
fsalmoir/PyGeM | pygem/igeshandler.py | 1 | 10249 | """
Derived module from filehandler.py to handle iges and igs files.
"""
import os
import numpy as np
from mpl_toolkits import mplot3d
from matplotlib import pyplot
from OCC.IGESControl import (IGESControl_Reader, IGESControl_Writer)
from OCC.BRep import (BRep_Tool, BRep_Builder)
from OCC.BRepBuilderAPI import (BRepBui... | mit |
joshloyal/scikit-learn | examples/decomposition/plot_pca_iris.py | 65 | 1485 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
PCA example with Iris Data-set
=========================================================
Principal Component Analysis applied to the Iris dataset.
See `here <https://en.wikipedia.org/wiki/Iris_flower_data_set>`_ f... | bsd-3-clause |
ndingwall/scikit-learn | examples/gaussian_process/plot_gpc_xor.py | 43 | 2170 | """
========================================================================
Illustration of Gaussian process classification (GPC) on the XOR dataset
========================================================================
This example illustrates GPC on XOR data. Compared are a stationary, isotropic
kernel (RBF) and ... | bsd-3-clause |
kazemakase/scikit-learn | examples/ensemble/plot_bias_variance.py | 357 | 7324 | """
============================================================
Single estimator versus bagging: bias-variance decomposition
============================================================
This example illustrates and compares the bias-variance decomposition of the
expected mean squared error of a single estimator again... | bsd-3-clause |
mannion9/Intro-to-Python | Simulations/Spring Simulation.py | 1 | 1240 | # Spring Simulation Animation
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import math
# Input
damping=1 # Set to 1 for damping
forcing=0 # Set to 1 for damping of cos(wt+phi)
# System
m=1 # Mass (kg)
k=1 # Spring Constant
b=1 # Damping Constant
F=1 # Forcing
w=math.sqrt(k/m) # Freq... | mit |
followyourheart/airflow | setup.py | 4 | 2287 | from setuptools import setup, find_packages
import sys
# Kept manually in sync with airflow.__version__
version = '1.5.0'
doc = [
'sphinx>=1.2.3',
'sphinx-argparse>=0.1.13',
'sphinx-rtd-theme>=0.1.6',
'Sphinx-PyPI-upload>=0.2.1'
]
hive = [
'hive-thrift-py>=0.0.1',
'pyhive>=0.1.3',
'pyhs2>=... | apache-2.0 |
ml-playground/data-science-from-scratch | code/visualizing_data.py | 58 | 5116 | import matplotlib.pyplot as plt
from collections import Counter
def make_chart_simple_line_chart(plt):
years = [1950, 1960, 1970, 1980, 1990, 2000, 2010]
gdp = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]
# create a line chart, years on x-axis, gdp on y-axis
plt.plot(years, gdp, color='gr... | unlicense |
adamobeng/ibis | ibis/impala/tests/test_udf.py | 9 | 18191 | # Copyright 2015 Cloudera Inc
#
# 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 in writing, softw... | apache-2.0 |
ovgarol/chaPulin9.0 | simPulsar/parallel_simPulsar.py | 1 | 5106 | #!/usr/bin/env python
""" Tercera implementacion del codigo
Tercera modularizacion
Primera paralelizacion
Datos obtenidos de atnfParameters
Primer paralelizacion completa.
chaPulin8.8
"""
import math, sys, time
import numpy as np
from scipy import array
import simPulsar
import pp
import matplotlib... | agpl-3.0 |
codles/UpDownMethods | tests/test_Levitt1971_Fig5.py | 1 | 2817 | from UpDownMethods import CORRECT, INCORRECT
import UpDownMethods as ud
import numpy as np
import matplotlib.pyplot as plt
import unittest
#
# Simulation parameters
responses = [CORRECT, CORRECT, CORRECT, CORRECT, INCORRECT, CORRECT, INCORRECT,
INCORRECT, CORRECT, INCORRECT, CORRECT, CORRECT, CORRECT, C... | mit |
ihincks/python-qinfer | src/qinfer/metrics.py | 2 | 4157 | #!/usr/bin/python
# -*- coding: utf-8 -*-
##
# metrics.py: Metrics for use with SciPy and sklearn functions.
##
# © 2012 Chris Ferrie (csferrie@gmail.com) and
# Christopher E. Granade (cgranade@gmail.com)
#
# This file is a part of the Qinfer project.
# Licensed under the AGPL version 3.
##
# This program is fre... | agpl-3.0 |
kwotsin/TensorFlow-ENet | test_enet.py | 1 | 9671 | import tensorflow as tf
from tensorflow.contrib.framework.python.ops.variables import get_or_create_global_step
from tensorflow.python.platform import tf_logging as logging
from enet import ENet, ENet_arg_scope
from preprocessing import preprocess
import os
import time
import numpy as np
import matplotlib.pyplot as plt... | mit |
subutai/htmresearch | projects/sequence_prediction/continuous_sequence/run_knn.py | 12 | 7104 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2016, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This progra... | agpl-3.0 |
vortex-ape/scikit-learn | doc/tutorial/text_analytics/solutions/exercise_01_language_train_model.py | 30 | 2272 | """Build a language detector model
The goal of this exercise is to train a linear classifier on text features
that represent sequences of up to 3 consecutive characters so as to be
recognize natural languages by using the frequencies of short character
sequences as 'fingerprints'.
"""
# Author: Olivier Grisel <olivie... | bsd-3-clause |
annoviko/pyclustering | pyclustering/cluster/kmeans.py | 1 | 24245 | """!
@brief The module contains K-Means algorithm and other related services.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import copy
import numpy
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import pyclustering.core.km... | gpl-3.0 |
multipath-tcp/mptcp-analysis-scripts | packet_size_cdf.py | 2 | 2185 | #! /usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2014-2015 Matthieu Baerts & Quentin De Coninck
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
... | gpl-3.0 |
bromjiri/Presto | trainer/tests/stop.py | 1 | 1942 | import datetime
import trainer.corpora as crp
import trainer.features as ftr
import trainer.classifier_test as cls
import os
# vars
type = "stop-pos"
nltk_run = True
sklearn_run = False
COUNT = 5000
cut = int((COUNT / 2) * 3 / 4)
array = [True]
def run(dataset):
nlt = dict()
skl = dict()
dir = "output/... | mit |
musically-ut/statsmodels | statsmodels/tsa/seasonal.py | 27 | 5392 | """
Seasonal Decomposition by Moving Averages
"""
from statsmodels.compat.python import lmap, range, iteritems
import numpy as np
from pandas.core.nanops import nanmean as pd_nanmean
from .filters._utils import _maybe_get_pandas_wrapper_freq
from .filters.filtertools import convolution_filter
from statsmodels.tsa.tsato... | bsd-3-clause |
mjudsp/Tsallis | examples/applications/plot_outlier_detection_housing.py | 28 | 5563 | """
====================================
Outlier detection on a real data set
====================================
This example illustrates the need for robust covariance estimation
on a real data set. It is useful both for outlier detection and for
a better understanding of the data structure.
We selected two sets o... | bsd-3-clause |
zingale/pyro2 | swe/simulation.py | 1 | 8883 | from __future__ import print_function
import importlib
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import swe.derives as derives
import swe.unsplit_fluxes as flx
import mesh.boundary as bnd
from simulation_null import NullSimulation, grid_setup, bc_setup
import util.plot_tools as plot_tools
... | bsd-3-clause |
AndroidOpenDevelopment/android_external_chromium_org | chrome/test/nacl_test_injection/buildbot_nacl_integration.py | 94 | 3083 | #!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import subprocess
import sys
def Main(args):
pwd = os.environ.get('PWD', '')
is_integration_bot = 'nacl-chrome' in ... | bsd-3-clause |
zhreshold/mxnet | example/ssd/detect/detector.py | 16 | 8833 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | apache-2.0 |
Tagar/incubator-airflow | docs/conf.py | 10 | 9042 | # -*- coding: utf-8 -*-
#
# Airflow documentation build configuration file, created by
# sphinx-quickstart on Thu Oct 9 20:50:01 2014.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# A... | apache-2.0 |
gVallverdu/pymatgen | pymatgen/phonon/tests/test_plotter.py | 2 | 3672 | import unittest
import os
import json
import scipy
from io import open
from pymatgen.phonon.dos import CompletePhononDos
from pymatgen.phonon.plotter import PhononDosPlotter, PhononBSPlotter, ThermoPlotter
from pymatgen.phonon.bandstructure import PhononBandStructureSymmLine
test_dir = os.path.join(os.path.dirname(__... | mit |
tfiedor/perun | perun/view/scatter/factory.py | 1 | 10803 | """ Module with graphs creation and configuration functions. """
from operator import itemgetter
from collections import defaultdict
import demandimport
with demandimport.enabled():
import bkcharts as charts
import bokeh.palettes as palettes
import numpy as np
import perun.profile.query as query
import perun... | gpl-3.0 |
abhisg/scikit-learn | examples/decomposition/plot_faces_decomposition.py | 103 | 4394 | """
============================
Faces dataset decompositions
============================
This example applies to :ref:`olivetti_faces` different unsupervised
matrix decomposition (dimension reduction) methods from the module
:py:mod:`sklearn.decomposition` (see the documentation chapter
:ref:`decompositions`) .
"""... | bsd-3-clause |
nstustudent/krotyuk_social_network_sa | Model.py | 1 | 6780 | from __future__ import print_function
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense, SpatialDropout1D,Dropout, Activation
from keras.layers import Embedding
from keras.layers import Conv1D, GlobalMaxPooling1D
from sklearn.metrics import roc_curve, auc
impor... | apache-2.0 |
DistrictDataLabs/yellowbrick | examples/balavenkatesan/testing.py | 1 | 3563 | import pandas as pd
import csv
from sklearn import neighbors
from sklearn import datasets
import numpy as np
import yellowbrick as yb
from yellowbrick.neighbors import KnnDecisionBoundariesVisualizer
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
def load_adm_sat_school_data(return_X_y=F... | apache-2.0 |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 5