cinneesol

auto-sklearn

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-R

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

Conv-Nets-Series

A series of blog posts on convolutional neural networks and their generalizations.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning

deep_learning_ex

Deep learning examples

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

finmarketpy

Python library for backtesting trading strategies and analyzing financial markets (formally pythalesians)

go

The Open Source Data Science Masters

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

HPOlib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Pweave

Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.

pydata-chicago2016-ml-tutorial

Machine learning with scikit-learn tutorial at PyData Chicago 2016

pyGPs

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

Pynance

mega-project containing python scripts and programs to handle all things finance

PythonDataScienceHandbook

Supplemental materials for my OReilly project, the Python Data Science Handbook

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

RoBO

RoBO: a Robust Bayesian Optimization framework

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

SMAC3

Sequential Model-based Algorithm Configuration

telco-customer-churn-in-r-and-h2o

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

ThinkPython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

vtreat

‘vtreat’ is an R data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.

Waldo

Software designed to identify and monitor social/historical cues for stock movement