ujjwalkarn

go

The Go programming language

awesome-awesomeness

A curated list of awesome awesomeness

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

tweepy

Twitter for Python!

torch7

http://torch.ch

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

awesome-R

A curated list of awesome R packages, frameworks and software.

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

pycrumbs

Bits and bytes of Python from the Internet

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pybrain

nn-from-scratch

Implementing a Neural Network from Scratch

MemNN

Memory Networks implementations

Spearmint

Spearmint Bayesian optimization codebase

libfm

Library for factorization machines

metric-learn

Metric learning algorithms in Python

pyFM

Factorization machines in python

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

cvpr2015

ramp

Rapid Machine Learning Prototyping in Python

fblualib

Facebook libraries and utilities for Lua

openintro

📦 R package for data and supplemental functions for OpenIntro resources

kaggle-avito

https://www.kaggle.com/c/avito-context-ad-clicks/forums

gadsdc

materials for General Assembly Data Science DC course

R2D3

R package to create D3.js Visualisations

nn-theano

Speed up your Neural Network with Theano and the GPU

kaggle-denoising-dirty-documents

6th place solution in "Denoising Dirty Documents"

ryd.io

mlearn

Machine learning algorithms implemented in Python

usefulSyntax

Codes for common data analysis operations