Miladiouss

def index_of_which_bin(bin_sizes, absolute_index, verbose=False):
    """
    Given the absolute index, returns which bin it falls in and which element of that bin it corresponds to.
    """
    # Which class/bin does i fall into?
    accum = np.add.accumulate(bin_sizes)
    if verbose:
        print("accum =", accum)
    bin_index  = len(np.argwhere(accum <= absolute_index))
    if verbose:

Miladiouss

import torchvision
import torchvision.transforms as transforms
from torchvision.datasets import CIFAR10
from torch.utils.data import Dataset, DataLoader
import numpy as np

# Transformations
RC = transforms.RandomCrop(32, padding=4)
RHF = transforms.RandomHorizontalFlip()
RVF = transforms.RandomVerticalFlip()

Miladiouss

# Author: Miladiouss (Milad Pourrahmani)
# Author's Website: Miladiouss.com
# Date: Sep 26, 2018
# Title: Simple Particle Simulator
# Description:
"""
I am hoping to assemble a series of brief educational computer programs that will capture the simplicity and elegance of laws of physics, both in nature and in apprehension.

This particular educational project (Simple Particle Simulator) is the first of this series. In less than 25 lines, plotting and comments aside, we can obtain the trajectory of a particle in ANY force field. The generated plot displays the simulated and exaggerated perihelion precision of Mercury. 

Miladiouss

import numpy as np
from matplotlib import pyplot as plt
import torch


class HistogramTransform(object):
    """
    Transforms the distribution of the input tensor to match that
    of the list of template histograms corresponding to each channel.
    

Miladiouss

import numpy as np

from pathlib import Path

# AstroPy
import astropy
from astropy.coordinates import SkyCoord, GCRS, ICRS, GeocentricTrueEcliptic, Galactic
import astropy.units as u
from astropy.io import fits
from astropy.wcs import WCS

Miladiouss

# Library import for plotting
import matplotlib.pyplot as plt
%matplotlib inline

# Define Logistic Map
def f(x, r):
    return r * x * (1 - x)

# Define history and parameters
history = [0.5]

Miladiouss

# GPU Detection Tests
from torch.cuda import device_count
import gpustat

print("""
If pytorch raises "RuntimeError: cuda runtime error (30)" after suspension,
run the following commands in linux terminal:

sudo rmmod nvidia_uvm
sudo rmmod nvidia

Miladiouss

from datetime import datetime
timeFormat = '%a %b %d %Y at %H:%M:%S'
import socket
deviceName = socket.gethostname()
import getpass
userName = getpass.getuser()

t1 = datetime.now()
print(t1.strftime(timeFormat) + ' on ' + deviceName + ' by ' + userName)

Miladiouss

def appendOrdinality(df, columns, ascending, strictlyIncreasing=False):
    """
    Appends absolute and relative ordinality to a dataframe.
    Oridinality is the normalized position of a row in a sorted dataframe.
    
    df:
        Pandas DataFrame
    columns: 
        List of column names for to be used for sorting (e.g. ['prob_1'])
    ascending: 

Miladiouss

-- An HSC-PDR2 SQL query to extract RA, Dec, tract, patch of clean galaxies with a magnitude cut.

-- Useful Links:
-- /https://hsc-release.mtk.nao.ac.jp/hscMap-pdr2/app/#/?_=%7B%22view%22%3A%7B%22a%22%3A5.770914805732617,%22d%22%3A-0.019535944017082533,%22fovy%22%3A0.0002503311005562077,%22roll%22%3A0%7D,%22sspParams%22%3A%7B%22type%22%3A%22SDSS_TRUE_COLOR%22,%22filter%22%3A%5B%22HSC-I%22,%22HSC-R%22,%22HSC-G%22%5D,%22simpleRgb%22%3A%7B%22beta%22%3A22026.465794806718,%22a%22%3A1,%22bias%22%3A0.05,%22b0%22%3A0%7D,%22sdssTrueColor%22%3A%7B%22beta%22%3A26003.369421497522,%22a%22%3A1,%22bias%22%3A0.14439999999999995,%22b0%22%3A0%7D%7D%7D
-- https://hsc-release.mtk.nao.ac.jp/schema/#pdr2.pdr2_wide.forced


SELECT
        object_id 
        , tract