text string |
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# -*- coding: utf-8 -*-
# /usr/bin/python2
'''
By <NAME>. <EMAIL>.
https://www.github.com/kyubyong/dc_tts
'''
from __future__ import print_function
import time
import os
from hyperparams import Hyperparams as hp
import hyperparams
import numpy as np
import tensorflow as tf;
from train import Graph
from utils import... |
import pandas as pd
import numpy as np
import copy
import os
from scipy.stats import zscore
from sklearn.feature_selection import VarianceThreshold
results_df = pd.read_csv("results_df.csv")
EX10 = np.genfromtxt('X.csv',delimiter=',')
Eqids10 = np.genfromtxt('qids.csv',delimiter=',')
def get_X(X,qids,qid):
inxs... |
""" This module presents rest endpoints to interact with the instance router and its results from the outside """
# pylint: disable=missing-return-doc, missing-return-type-doc
import statistics
from flask import Blueprint, request, abort
from instance_router import instance_router_interface
from models.batch_policy imp... |
# (C) Crown Copyright, Met Office. All rights reserved.
#
# This file is part of ocean_error_covs and is released under the BSD 3-Clause license.
# See LICENSE in the root of the repository for full licensing details.
#######################################################################
import numpy as np
import nump... |
<gh_stars>0
"""
Copyright (c) 2018 <NAME> <<EMAIL>>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publis... |
<reponame>voytekresearch/sca
import numpy as np
import scipy as sp
#from scipy.stats import expon
## maybe we want to include the plotting tools here too? Or in a separate
## folder for all the different plotting tools.
def MC_KS_exp(x, N_draws, N_samples=None, do_sims=False):
""" Monte Carlo simulation of KS tes... |
<gh_stars>0
"""
Script for picking first arrivals in seismic data stored in SEG2 format. Picks
are saved in numpy.ndarray format as $(FILE_NAME)_picks.txt
<NAME>
University of Toronto
2018-09-22
This script is based on MATLAB script seis_pick.m by Carl-Ge<NAME>, included
in SIGKIT software package
"""
import numpy ... |
import sys
import os
import pdb
import math
from scipy.io import loadmat
import torch
import pickle
import argparse
import configparser
import pandas as pd
import sklearn.metrics
# import statsmodels.tsa.stattools
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
sys.path.append("../src")
import... |
<filename>sentence_transformers/correlation_evaluation.py
import configparser
import os
import csv
from analogy.data import is_comment
import itertools
from scipy.stats import pearsonr
import argparse
import numpy as np
def read_dists(dist_file):
with open(dist_file, newline='') as csvfile:
fieldnames = ['... |
<gh_stars>0
#
# Copyright (c) 2018 TECHNICAL UNIVERSITY OF MUNICH, DEPARTMENT OF MECHANICAL ENGINEERING, CHAIR OF APPLIED MECHANICS,
# BOLTZMANNSTRASSE 15, 85748 GARCHING/MUNICH, GERMANY, <EMAIL>.
#
# Distributed under 3-Clause BSD license. See LICENSE file for more information.
#
"""
Methods to generate reduction base... |
<filename>api/client/samples/similar_regions/transform.py
"""
Numpy data transforms for API data.
This file contains a library of Transformer classes that expand sklearn transformation functionality
http://scikit-learn.org/stable/data_transforms.html, and necessary utilities.
Each transformer class has a fit method (... |
import os
import sys
from astropy.io import fits
import fnmatch
import numpy as np
from scipy.ndimage import label, center_of_mass, fourier_ellipsoid, \
fourier_gaussian, gaussian_filter
from io_functions import *
from image_functions import *
from photometry_functions import *
import c_interface_functions as ci
fr... |
import tensorflow as tf
# import hyperparams as hyp
import os
import numpy as np
from os.path import isfile
from scipy.misc import imread, imsave, imresize
EPS = 1e-6
# do not import any other utils!
def print_shape(t):
print( t.get_shape().as_list())
def normalize_single(d):
dmin = tf.reduce_min(d)
dmax ... |
<filename>meteo_forecast_checker.py<gh_stars>0
# --------------------------------------------------------------------------- #
# Importing section
# --------------------------------------------------------------------------- #
import os
import sys
import argparse
import logging
import json
import time
import pandas as... |
#!/usr/bin/python
import getopt
import matplotlib.pyplot as pyplot
import numpy
import pysam
from scipy.optimize import leastsq
import sys
def plotInsertSize(bamFile,oFile=False,maxSize=False):
if False == maxSize:
maxSize = 1000;
pass
if False == oFile:
oFile = bamFile[:-4]+".pdf"
... |
<filename>trunk/src/deimos/resources/script/pythoident.py<gh_stars>0
#!/usr/bin/env python
from matplotlib import pylab as plt
import numpy as np
from scipy.optimize import fmin
from scipy.interpolate import interp1d
from astropy.io import fits
import os
import sys
pyversion = sys.version_info[0]
plt.ion()
def gendei... |
# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
import logging
import os
import matplotlib.pyplot as plt
from PIL import Image
from scipy.spatial.distance import cdist
from patchwork._util import compute_l2_loss
from patchwork.feature._generic import GenericExtractor
from patchwork.feature._text_tr... |
from scipy import signal
from scipy import misc
from scipy.spatial.transform import Rotation as R
from scipy.optimize import linear_sum_assignment as munkres
from collections import defaultdict
from common import *
import numpy as np
refV = np.array([0,0,1])
minAngle = 1 * (np.pi/180.)
maxAngle = 10 * (np.pi/180.)
##... |
<reponame>sam-greenwood/thermal_history<gh_stars>0
#Radial Profiles Functions
import numpy as np
from scipy.optimize import curve_fit
from numba import njit
from thermal_history.utils.optimised_funcs import linspace, trapezoid, polyval
import logging
logger = logging.getLogger(__name__)
G = 6.67e-11 #Gravitational co... |
import multiprocessing as mp
import itertools as it
import functools as ft
import pickle
import sys
import numpy as np
import pandas as pd
import time
import sklearn
import sklearn.preprocessing as pre
import scipy.sparse as sp
dat = pd.read_csv('./cord_blood_kinases.csv', sep=',', header=0, index_col=0);
def get_cel... |
<gh_stars>0
import numpy as np
from scipy import sparse
import scipy.sparse.linalg as spla
import pylab as plt
from scipy.linalg import block_diag
#
#
nSub = 2
def load_matrix_basic(pathToFile,makeSparse,makeSymmetric, offset):
f0 = open(pathToFile).readlines()
firstLine = f0.pop(0) #removes the first line
... |
<reponame>photoszzt/this<filename>tests/origin/shot_detect.py
######################################################
# -*- coding: utf-8 -*-
# File Name: shot_detect.py
# Author: <NAME>
# Created Date: 2017-10-21
# Description: Shot detection, it can locate different
# shots from a video.
# Modified from Scanner/exampl... |
<filename>wellcompare/graph_repl.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 10 09:31:00 2020
@author: jacob
"""
import pandas as pd
import matplotlib.pyplot as plt
import scipy.optimize as optim
import numpy as np
from scipy import stats
import seaborn as sns
# Graph the average of all t... |
<reponame>BystrickyK/SINDy
import pandas as pd
import matplotlib.pyplot as plt
from src.utils.identification.PI_Identifier import PI_Identifier
from src.utils.solution_processing import *
from differentiation.spectral_derivative import compute_spectral_derivative
from filtering.SpectralFilter import SpectralFilter
from... |
<filename>dataset/dataset/dataset.py
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import statsmodels.api as sm
import warnings
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, PowerTransformer, \
OneHotEncoder
fro... |
from operator import add
import random
from attacks import utils
import torch.nn.functional as F
import numpy as np
import torch
import scipy.sparse as sp
from attacks.attack import gcn_norm
def dice_injection(adj, n_inject, n_edge_max, origin_labels, target_idx, device):
n_classes = max(origin_labels)+1
clas... |
"""This file contains descriptor classes that use the direction of one
atom to another in the molecule to descripte the environment
Author:
<NAME>, QCIEP, <NAME>
"""
import numpy as np
from scipy.special import sph_harm
#-------------------------------------------------------------------------------
# Low ... |
<reponame>anovak10/plots<gh_stars>0
# A bunch of CONVERTERS for the Fit part of Alphabet.
import os
import math
from array import array
import optparse
import ROOT
from ROOT import *
import scipy
#### LINEAR ####
class LinearFit:
def __init__(self, init_var, range_min, range_max, name, Opt):
self.Opt = Opt
self... |
from HPC_Task import Task, Workloads
from HPC_Cluster import Cluster
import os
import math
import json
import time
import sys
import random
from random import shuffle
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import scipy.signal
import gym
from gym import ... |
import argparse
import itertools
import timeit
import fsph
import matplotlib, matplotlib.pyplot as pp
import numpy as np
import scipy as sp, scipy.special
class Benchmark:
def __init__(self, N, lmax, negative_m):
self.N = N
self.lmax = lmax
self.negative_m = negative_m
self.phis =... |
<reponame>bbc/rd-apmm-python-lib-mediagrains
#
# Copyright 2018 British Broadcasting 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... |
<reponame>Sunnesoft/g2net-challenge<gh_stars>0
import tensorflow as tf
import tensorflow_probability as tfp
import numpy as np
import math
import os
import random
import time
from scipy.interpolate import interp2d, InterpolatedUnivariateSpline
from PIL import Image
try:
from typing import Literal
except ImportErr... |
# run_grtrans_3D.py
# runs grtrans on koral simulation images at very high resolution
# these will take a long time!
import grtrans_batch as gr
import numpy as np
import sys
import os
import subprocess
import time
import astropy.io.fits as fits
import scipy.ndimage.interpolation as interpolation
####################... |
from mpmath import *
from sympy import *
# Create symbols
d = symbols('d1:8') #link offsets
a = symbols('a0:7') #link lengths
alpha = symbols('alpha0:7') #twist angles
theta = symbols('theta1:8') #joint angles
#Vals from kr210.urdf.xacro
num_links = 7
d_vals = [0.75, 0,0,1.5,0,0,0.303]
a_vals = [0,0.35,1.25,-0.054,0,0... |
import argparse
import datetime
import os
import time
import yaml
from scipy.io import savemat
from bench_press.tb_control.dynamixel_interface import Dynamixel
from bench_press.tb_control.testbench_control import TestBench
with open('config_extrusion.yaml', 'r') as f:
config = yaml.load(f)
HOME_POS = config['hom... |
# IMPORT MODULES
import numpy as np
from scipy import optimize
from reported_statistics import get_p
from typing import List
import time
import distributions
class Tobit(object):
"""
A regression model for censored or truncated variables
"""
def __init__(self, add_intercept:bool=False, co... |
<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 30 15:15:55 2020
@author: gabriel
"""
import numpy as np
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
import pandas as pd
# from models import NHNM
# from models import get_uniform_rand_phase
# from models impo... |
<reponame>AFRL-RY/Explore-Coarse-3D-Reconstruction-Path-Planning-Summer-2017
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 10 11:56:15 2017
@author: student
"""
import dubins
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial.distance import pdist,squareform
from TSChristofides import Christofides... |
<filename>atm76/tests/test_atmospheric_properties.py<gh_stars>0
from atm76 import ATM76
from atm76.tables import (ALTITUDE, PRESSURE, TEMPERATURE, DENSITY, DELTA, THETA, SIGMA,
SPEED_OF_SOUND, VISCOSITY, KINEMATIC_VISCOSITY)
import numpy as np
from scipy.optimize import check_grad, approx_fpri... |
<reponame>Rosswell/Introduction-to-Linear-Regression-Analysis
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import mean_squared_error
from sklearn.feature_selection import Sel... |
<reponame>javiersilvalafaurie/COVARIANCE_jacknifes_vs_mocksLC
#!/usr/bin/env python
import numpy as np
import scipy as sp
from scipy.integrate import simps
import matplotlib.pyplot as plt
import os
import emcee
import multiprocessing as mp
from multiprocessing import cpu_count, Pool
cores = mp.cpu_count()
############... |
<reponame>fmonegaglia/pyris<filename>pyris/vector/__init__.py
import numpy as np
from scipy import interpolate
from ..misc import NaNs, Intersection
from axis import AxisReader, ReadAxisLine
from interpolation import InterpPCS, CurvaturePCS, WidthPCS
from migration import AxisMigration
__all__ = [
'AxisReader', ... |
<filename>custom_gym.py
# Comp. Engr. <NAME>
from scipy.misc import imresize
import gym
from gym.wrappers import Monitor
import numpy as np
# Para espaço de observação na forma de imagem e ações discretas!!!
# Bom para ATARI
class CustomGym:
def __init__(self, game_name, skip_actions=4, num_frames=4, w=84, h=84, ... |
from numpy import *
import scipy.linalg
import numpy as np
from sympy import Symbol
# from sympy import *
from numpy import linalg
pi = 3.141592653589793
# returns transformation Matrix
def transformMatrix(arg):
mat=zeros((4,4))
arg=arg*(pi/180)
mat[0,0]=np.cos(arg)
mat[0,1]=-np.sin(arg)
mat[1,0]=n... |
from operator import mod
from pyexpat import model
from statistics import mode
from unicodedata import category, name
from django.db import models
from core.translate import dictionary
from django.contrib.auth import get_user_model
# setting user model
# this code provide migration tips to
# USER_MODEL and provide... |
from fractions import Fraction
prob = (1/4) / (3/4)
print(Fraction(prob).limit_denominator()) |
<reponame>KamilGos/bilateration-mobile-robot-localization
import math
import matplotlib.pyplot as plt
import json
from scipy.optimize import fmin_cg
import numpy as np
def pol2cart(rho, phi):
x = rho * math.cos(phi)
y = rho * math.sin(phi)
return [x, y]
def extract_corners(data, threshold):
"""Extra... |
<reponame>CatTheoryDTU/tpd-analyse<filename>examples/main.py
"""
Example to generate the list of plots in:
10.26434/chemrxiv.14525496.v2
The idea is to determine the contribution of
1. zero-coverage energy
2. configurational entropy
3. adsorbate-adsorbate interaction
to the overall free energy of adsorption for a f... |
<filename>agent/model/models/manipulator_kinematics.py
#
from abc import ABC, abstractmethod # This is needed for the abstract classes
# Third-party Imports
import numpy as np
import sympy as sp
import dill
# Application Specific Imports
from agent.model.models.models import ModelBase
class ManipulatorKinematicsMod... |
<gh_stars>0
import dgl
import dgl.function as fn
from collections import Counter
import numpy as np
import scipy.sparse as ssp
import itertools
import backend as F
import networkx as nx
def create_test_heterograph():
# test heterograph from the docstring, plus a user -- wishes -- game relation
mg = nx.MultiDi... |
<reponame>gdamaskinos/dpscd<gh_stars>1-10
"""
Copyright (c) 2020 <NAME>
All rights reserved.
@author <NAME> <<EMAIL>>
This source code is licensed under the MIT license found in the
LICENSE file in the root directory of this source tree.
"""
import numpy as np
import pandas as pd
import time
import sys
impo... |
# *******************************************************************************
#
# Copyright (c) 2017-2021 <NAME>. All rights reserved.
#
# *******************************************************************************
import operator, random
import numpy as np
import scipy.stats
from coppertop.pipe import *
f... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 28 13:04:10 2019
@author: nico
"""
import os
import numpy as np
from scipy import signal as sig
import matplotlib.pyplot as plt
import control
from numpy import pi, diff, unwrap, angle
os.system ("clear") # limpia la terminal de python
plt.close("a... |
<reponame>satyakisikdar/Attributed-VRG
import logging
from typing import Tuple, List
import networkx as nx
import numpy as np
import scipy.sparse as sp
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, auc, precision_recall_curve, average_precision_score, roc_auc_score
from methods.VRG.runner imp... |
<filename>twolocus.py
"""
File: twolocus.py
Authors: <NAME>, <NAME>
Purpose:
Treat the genome as a series of intervals, some of which have a known subspecific origin.
Over subsets of all samples, find the frequency of all pairwise combinations of origins for intervals.
E.g. find the number of sa... |
"""
F-test for the whole model.
Use this when you test the whole model.
"""
from termcolor import colored
from scipy import stats as st
n_value = float(input("Enter n "))
k_value = float(input("Enter k "))
r_sqrd = float(input("Enter R-sqrd "))
adj = float(-1)
adjk_value = (k_value + adj)
#### EQUATION for F-value
f... |
<filename>libAffinity.py<gh_stars>1-10
import numpy as np
from math import log, exp
import matplotlib.pyplot as plt
import sys
import random
from scipy.stats import binom
from collections import Counter
"""
This library provides all the related functions to affinity and
antigen/antibodies interactions
"""
cla... |
#!/usr/bin/env python
import climate
import io
import numpy as np
import theanets
import scipy.io
import os
import tempfile
import urllib
import zipfile
import gzip
import json
init_from_currennt_model = True
current_model_file = 'currennt_trained_network.jsn.gz'
logging = climate.get_logger('lstm-chime')
climate.e... |
"""This module implements a PDT distribution sub-class using interpolated grids
"""
import numpy as np
from scipy.stats import rv_continuous
from qp.pdf_gen import Pdf_rows_gen
from qp.conversion_funcs import extract_vals_at_x, extract_xy_vals, extract_xy_sparse
from qp.plotting import get_axes_and_xlims, plot_pdf_o... |
<reponame>n-beckage/GPCR-Drug-Likeness-Project
######################## Plotting QED and Activity score - histogram ##############################
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import stats
df=pd.read_pickle("numpy_objs/framed_data.zip")
activit... |
<reponame>yasinyildirim/BayesianClassifier<filename>linear_classifier.py
###################################################################################################################################
#@Author <NAME> ... |
"""This file serves as an example how to use MPIPoolEngine
to optimize across nodes and also as a test for the
MPIPoolEngine."""
import pypesto
import numpy as np
import scipy as sp
import pypesto.optimize as optimize
from pypesto.store import (OptimizationResultHDF5Writer,
ProblemHDF5Writer)... |
<gh_stars>10-100
import numpy as np
import theano
import theano.tensor as T
from scipy.ndimage import imread
from returnn import Model, Collapse, Loss, SGD
np.random.seed(1234)
H, W, N, K, D = 11, 7, 5, 3, 2
x = np.random.uniform(-1, 1, H * W * N * K).astype(np.float32).reshape((H, W, N, K))
x = np.round(x, 1)
z = np... |
<reponame>shibaji7/IPShock_12jun2012
import os
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = False
import matplotlib.pyplot as plt
plt.style.use(["science", "ieee"])
import numpy as np
import matplotlib.dates as mdates
from matplotlib.dates import DateFormatter, num2date
from matplotlib import patches
... |
<reponame>idiap/cbi_toolbox
"""
The bspline package implements splines and transformations to project signals
onto spline bases based on formulas described in [1].
[1] <NAME>, <NAME>, <NAME>, *"Interpolation Revisited"*, IEEE Transactions
on Medical Imaging, vol. 19, no. 7, pp. 739-758, July 2000.
"""
# Copyright (c)... |
import numpy as np
from scipy.misc import factorial
from .scalespace import ScaleSpace
from .util import extract_keypoint
class JetDescriptor:
def __init__(self, k=4, sigma=5.3, rings=1, ring_samplings=4,
normalization='l2', whitening=True, patch_size=64,
keypoint_scale=3):
... |
<gh_stars>1-10
"""
File: t_diatonic_reflection.py
Purpose: Tranformation to diatonically reflection a portion of a line around or near a pitch.
"""
from fractions import Fraction
from structure.LineGrammar.core.line_grammar_executor import LineGrammarExecutor
from tonalmodel.pitch_range import PitchRange
from trans... |
import os
import numpy as np
from scipy.misc import imsave
from skimage.color import rgb2lab, lab2rgb
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, UpSampling2D, Activation, Dropout, BatchNormalization, MaxPooling2D
from sklearn.model_selection import train_test_split
from t... |
<reponame>oldpaws/AI3064_CV_HW2_SIFT<gh_stars>0
import numpy as np
import cv2
from collections import defaultdict
from scipy.ndimage.filters import *
from time import time
def posExtractor(idx, keyP):
return (int(round(keyP[idx][0][0])), int(round(keyP[idx][0][1])))
def sizeExtractor(idx, keyP):
return int(... |
<filename>codes/CEM/CEMnet.py
from scipy.signal import convolve2d as conv2
import numpy as np
pytorch_loaded = False
try:
import torch
import torch.nn as nn
pytorch_loaded = True
except:
pass
import copy
from CEM.imresize_CEM import imresize,calc_strides
import collections
class CEMnet:
NFFT_add = ... |
<reponame>doizuc/HyperInSPACE<filename>Source/Weight_RSR.py
# from BandData import MODIS, Sentinel3
import collections
import numpy as np
from numpy.lib.function_base import append
from scipy.interpolate import InterpolatedUnivariateSpline
from itertools import compress
# from Utilities import Utilities
class Weight... |
import numpy as np
from scipy.stats import uniform
from gpsearch import Inputs
class AugmentedInputs(Inputs):
"""A class that augments an instance of `Inputs`
with an extra (uniform) dimension for time.
"""
def __init__(self, inputs, bounds=[0,1]):
self.inputs = inputs
self.domain = ... |
<gh_stars>0
from tqdm import tqdm
import numpy as np
from scipy import stats
def merge_snp_tables(ref_table, alt_table,
how='inner', drop_duplicates=True,
correct_flips=True):
"""
This function takes a reference SNP table with at least 2 columns ('SNP', 'A1')
and ... |
<filename>xml_experiments/evaluator.py
from xclib.evaluation.xc_metrics import Metrics, compute_inv_propesity
from xclib.data import data_utils as du
from scipy.sparse import csr_matrix
import numpy as np
import warnings
import time
import os
class Evaluator:
def __init__(self, data_path):
self.DATA_DIR = ... |
<gh_stars>0
import numpy as np
from scipy.sparse import csr_matrix, csc_matrix, coo_matrix
_sparse_types = (csr_matrix, csc_matrix, coo_matrix)
class CSRBuilder:
def __init__(self):
self.data = []
self.row_idx = []
self.col_idx = []
self.h_axis = []
self._curr_h_axis_idx = ... |
<reponame>psc-g/ganterpretation
from scipy.io import wavfile
import numpy as np
def running_mean(x, N):
"""Compute running mean.
"""
cumsum = np.cumsum(np.insert(x, 0, 0))
return (cumsum[N:] - cumsum[:-N]) / float(N)
def get_inflection_points(arr, threshold):
"""Add inflection points.
"""
direction ... |
import numpy as np
import scipy.fftpack
import scipy.io
import scipy.ndimage
import scipy.stats
from ..utils import *
def gauss_window_full(lw, sigma):
sd = np.float32(sigma)
lw = int(lw)
weights = [0.0] * (lw)
sd *= sd
center = (lw-1)/2.0
for ii in range(lw):
x = ii - center
... |
<filename>SG/pipeline/old/pipeline.woPCA.py
#!/usr/bin/env python
import networkx as nx
import numpy as np
from graviti import *
import sys
from scipy import sparse, linalg
import os
import seaborn as sns; sns.set()
import matplotlib
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
import ... |
import wfdb
import os
from pprint import pprint
import numpy as np
import matplotlib.pyplot as plt
import scipy
import scipy.signal
def get_all_recno(dbdir):
for f in os.listdir(dbdir) :
if os.path.isfile(os.path.join(dbdir, f)) and f.endswith('.hea'):
yield f.split('.')[0]
def p... |
<gh_stars>0
import sys,os
sys.path.append(os.getcwd())
import pandas as pd
import numpy as np
import mystic
from typing import Callable
from src.utility_factors import valueFunction1, weightingFunction, logitFunc, CPT_logit
from src.attraction_factors import dummy_attraction, ambiguity_aversion,QDT_attraction, QDT_attr... |
<filename>Code/old_keras_image.py<gh_stars>1-10
"""Fairly basic set of tools for real-time data augmentation on image data.
Can easily be extended to include new transformations,
new preprocessing methods, etc...
"""
import numpy as np
import scipy.ndimage as ndi
def transform_matrix_offset_center(matrix, x, y):
... |
<gh_stars>0
import numpy as np
from sklearn.datasets import make_regression
from scipy.stats import norm, itemfreq
import pandas as pd
from pandas.io import sql
import sys
import time
import argparse
import os
from sqlalchemy import create_engine
import random
parser = argparse.ArgumentParser()
parser.add_argument(
... |
'''
<NAME>
04/03/2019
This script will compare the output distributions for the energy plus model simulations and the gaussian process
regression fit for the same data sets for a range of sample sets. In order to compare the distributions, a
bhattacharyya distance is calculated for each model that was calculated w... |
<reponame>mgh17/tierpsy-tracker<gh_stars>1-10
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 16 18:00:17 2017
@author: ajaver
"""
import numpy as np
import pandas as pd
import matplotlib.pylab as plt
import tables
import cv2
import multiprocessing as mp
import glob
from skimage.feature import p... |
import pytest
import algor
import random
import itertools
import collections
import re
import scipy.spatial
import geometer
import math
g1 = algor.Graph(
[1, 2, 3, 4],
[
("a", 1, 2),
("b", 1, 3),
("c", 2, 3),
("d", 3, 4),
],
)
ws = {
"a": 3,
"b": 1,
"c": 7,
... |
<filename>src/hackathon.py
from tkinter import *
# Import the required packages
import pandas as pd
import numpy as np
from pymongo import MongoClient
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib.pyplot as plt
import numpy as np
import sci... |
import scipy.optimize as spo
import numpy as np
import logging
from .base import AbstractDecompositionModel
from .utils import dissimilarity
from ..utils import check_logger
from itertools import combinations
from sklearn.base import BaseEstimator
from sklearn.decomposition import NMF as skNMF
from sklearn.cluster i... |
<gh_stars>10-100
'''
Run several simulations of an automated leveraged vault under a bounded
geometric brownian motion with prescribed volatility and drift and plot
the resultsing statistical quantities.
'''
from modules.readConfig import readConfig
from scipy import stats
from scipy.integrate import quad
import num... |
<reponame>jorobledo/StratoPy
import datetime
import os
import attr
from netCDF4 import Dataset
import numpy as np
from pyorbital import astronomy
from pyspectral.near_infrared_reflectance import Calculator
from scipy import interpolate
from . import core
PATH = os.path.abspath(os.path.dirname(__file__))
def r... |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 19 21:11:15 2019
@author: cham
"""
import numpy as np
from .regli import Regli
from slam.normalization import normalize_spectrum, normalize_spectra_block
from scipy.interpolate import interp1d
from astropy import constants as const
SOL = 299792.458 # km/s
class SpIn... |
__all__ = ["load_scat", "load_scat_from_matlab"]
class InvalidFileFormat(Exception):
pass
def load_scat(filename, format="auto"):
"""
Load scattering from any supported source.
Parameters
----------
filename : str
Filename
format : str
'auto' (default), 'matlab'
Ret... |
# The MIT License (MIT)
#
# Copyright (c) 2016 <NAME>, National Institutes of Health / NINDS
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitatio... |
import torch
from torch.utils.data.dataset import Dataset
import numpy as np
import os
import scipy.io
import scipy.misc as m
from PIL import Image
import random
from scipy.ndimage import gaussian_filter
from torchvision import transforms
from config.option import Options
import matplotlib.pyplot as plt
import config.C... |
<reponame>noah80/HIM
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 18 08:22:38 2017
@author: M.Reuss
"""
from HIM.utils import *
from HIM import dataHandling as sFun
#from HyInfraGis.HyPyOpt.expansion_compute_physical_parameters_adjusted import expansion_compute_physical_param as getPhys
import pyomo.environ as py... |
# -*- coding: utf-8 -*-
"""
Quantites calculator
Functions that compute additional quantities into netCDF datasets.
Uses xarray's Dataset an xmitgcm to read from a MITgcm's run directory.
Uses xgcm and xrft for the computations. All registered function should have the following signature:
>>> def funcname(dataset, gr... |
import numpy as np
from mctspy.games.common import TwoPlayersAbstractGameState, AbstractGameAction
from scipy.signal import convolve2d
class FourInRowMove(AbstractGameAction):
def __init__(self, x_coordinate, y_coordinate, value):
self.x_coordinate = x_coordinate
self.y_coordinate = y_coordinate
... |
from keras import backend as K
from keras.datasets import cifar10
import matplotlib.pyplot as plt
from scipy.misc import imresize
import numpy as np
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import (ZeroPadding2D,
Convolution2D,
... |
import sys
import lzma
import statistics
from os import listdir
from os.path import isfile, join, basename
ROUND_PRECISION = 2
# Process an xz file
def process(xz_file):
with lzma.open(xz_file) as f:
lines = f.read().decode().strip('\n').split('\n')
first_request = lines[0].split(",")
las... |
# this file is just a demonstration to show us that
# for a slightly compressible fluid
# initial pressure distribution with respect to z does not vary much
# so it is safe to assume that with respect to z, we can ignore gravity effect
from scipy import integrate
import numpy as np
#rhoGDeltaZDimMultiplier = 0.3048... |
# Authors: <NAME> <<EMAIL>>
#
# License: BSD-3-Clause
import errno
import os
from pathlib import Path
import warnings
import numpy as np
import pandas as pd
from scipy.stats import median_abs_deviation as mad
from mne.io.base import BaseRaw
from mne.io import read_raw_bdf
from mne.filter import filter_data, notch_... |
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