Weekly Machine Learning Opensource Roundup – Oct. 25, 2018


This interactive book on deep learning is the Julia translation of the mxnet-the-straight-dope. This project grew out of the MIT course 6.338 Modern Numerical Computing with Julia taught by professor Alan Edelman.

Reinforcement learning with A* and a deep heuristic


An open-source, general-purpose, Python-based scalable data analysis tool with additional data types and methods for working with genomic data

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

Faster R-CNN and Mask R-CNN
This project aims at providing the necessary building blocks for easily creating detection and segmentation models using PyTorch 1.0.


An extension of word2vec to learn phrase embeddings

Latent Dirichlet allocation
This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Implementation of NIPS 2017 paper “Pose Guided Person Image Generation” in PyTorch


Graph Nets library
Build Graph Nets in Tensorflow

An active learning framework for Python3, designed with modularity, flexibility and extensibility in mind.

A collection of modules accessible to a RL3 program to create a community-driven library of general NLP, unstructured and semi-structured text patterns that can empower personal, research and educational projects

An assortment of genetic algorithms – all written from scratch, for Python 3.5.

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