Weekly Machine Learning Opensource Roundup – July 12, 2018


Draw This.
A polaroid camera that draws cartoons. You point, and shoot – and out pops a cartoon; the camera’s best interpretation of what it saw.

A wordcloud/wordmesh generator that allows users to extract keywords from text, and create a simple and interpretable wordcloud, utilizing the various statistical, semantic and grammatical features of the text to inform visualization parameters.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water.

View the predictions of a neural network while it is being trained on the titanic dataset.

Federalist Papers NLP
Attribution of the Federalist Papers through TF-IDF and ML

spoken language identification
Identify a spoken language using artificial intelligence (LID).

Fortnite – PUBG
Converting Fortnite texture to PUBG texture using Keras


A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms.

A Python code collection of robotics algorithms, especially for autonomous navigation.

ElastiK Nearest Neighbors
Elasticsearch plugin for approximate K-nearest-neighbors on floating-point vectors


Code for reproducing results in “Glow: Generative Flow with Invertible 1×1 Convolutions”

Simple Tensorflow implementation of RelativisticGAN

Implementation of Conditionally Shifted Neurons by Munkhdalai et al

Optimized Differentiable Neural Computer In Chainer

Switchable Normalization
A normalization technique that is able to learn different normalization operations for different normalization layers in a deep neural network in an end-to-end manner.


TensorFlow on idris
Dependent types meets deep learning

A Java library that trains neural networks with a genetic algorithm.

Unify the way you interact with your data, a project derived from Parallelizing Pandas

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