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auto_ml

Automated machine learning for analytics & production

automatic_speech_recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

cahn-hilliard

Code to simulate the Cahn-Hilliard equation

clio_test

Programming exercise for Clio

deap

Distributed Evolutionary Algorithms in Python

deepevolve

Rapid hyperparameter discovery for neural nets using genetic algorithms

devol

Automated deep neural network design via genetic programming

drugqry

Checks for drug interactions

faisal_test

Programming exercise for FAISAL

fast-quadric-mesh-simplification

Mesh triangle reduction using quadrics

flp-layout-optimization

Python implementations of heuristic algorithms for the facility layout problem (research project w/ Prof. Amelia Regan at UC Irvine)

illqry

image-segmentation-keras-py3

Implementation of Segnet, FCN, UNet and other models in Keras. (Python 3)

itsr

Greedy Tree Search for Symbolic Regression (SymTree)

kaldi

This is now the official location of the Kaldi project.

libminc

libminc is the core library and API of the MINC toolkit

linselect

minc-tools

Basic minc-tools from former minc repository

minclaplace

Laplace's equation for measuring thickness (or other uses of streamlines) between two boundaries

nx2tikz

Export NetworkX graphs to TikZ directly

pdfparser

Parses fill-able PDF files and extracts fields into a CSV file.

pgn2gif

A small tool that generates gif of chess game

pydatagate

Take a numerical CSV file with 1 line of header and allow for visual gating of data (referring to flow cytometry gating)

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pysr

a pure-python symbolic regression library built on deap

python_flight_search

Using Python to search for flights.

pywavefront

Python library for importing Wavefront .obj files

qtgourgs

quantulum

Python library for information extraction of quantities from unstructured text

radiomics

A python implementation of the Radiomics approach by Aerts et al (http://www.nature.com/articles/ncomms5006)