Weekly Machine Learning Opensource Roundup – Mar. 1, 2018


Paradigms of Artificial Intelligence Programming (1992)
The repository for Peter Norvig’s book and Lisp code

Capsnet – Traffic sign classifier
A Tensorflow implementation of CapsNet(Capsules Net) applied on german traffic sign dataset

Sklearn Interpretable Tree
Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)


An open source library for building end-to-end dialog systems and training chatbots (early alpha release).

CheXNet Keras
This project is a tool to build CheXNet-like models, written in Keras.


Handwriting Synthesis
Implementation of the handwriting synthesis experiments in the paper Generating Sequences with Recurrent Neural Networks by Alex Graves

An implementation of Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.

One Pixel Attack in Keras
Keras reimplementation of “One pixel attack for fooling deep neural networks” using differential evolution on cifar10


Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner

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