scikit-learn: machine learning in Python

⚡ A Fast, Extensible Progress Bar for Python and CLI

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

Network Analysis in Python

A hyperparameter optimization framework

An open access book on scientific visualization using python and matplotlib

NumPy & SciPy for GPU

Reverse engineered API of Microsoft's Bing Chat AI

Automated Machine Learning with scikit-learn

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

Keras Attention Layer (Luong and Bahdanau scores).

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Python AutoML for Trading Systems and Sports Betting

A neural network trained to help writing neural network code using autocomplete

Coloring black and white images with deep learning.

Jupyter notebook integration with Spyder

OpenML AutoML Benchmarking Framework

Neural network toolkit for Python

A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.

SMILES enumeration for QSAR modelling using LSTM recurrent neural networks

Fast, easy and intuitive machine learning prototyping.

My IPython startup files.

Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neighbours-intro

Benchmarks for various machine learning packages

python enhancements of ase.calculators.vasp