Weekly Machine Learning Opensource Roundup – Feb. 21, 2019

Examples

Spark-Syntax
This is an open repo of all the best practices of writing PySpark that the author has learnt from working with the Framework.

DrWhy
A collection of tools for Explainable AI (XAI). It’s based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Pytorch classification experiments template
A pytorch based classification experiments template

Tensorflow-Cookbook
Simple Easy-to-use Tensorflow Cookbook

TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow

Toolsets

ml-data-generator
Python script to generate fake datasets optimized for testing machine learning/deep learning workflows

cortex
Build machine learning applications faster

PlotNeuralNet
Latex code for making neural networks diagrams

HexagDLy
Process hexagonally sampled data with PyTorch

Falcon
Interactive Visual Analysis for Big Data

matminer
data mining for Materials Science

Models

Deep Planning Network
Control from pixels by latent planning with learned dynamics

gpt-2
Code for the paper “Language Models are Unsupervised Multitask Learners”

RobustSTL
Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Libraries

Trickster
Reinforcement learning in Keras. Deep Reinforcement Learning mini-library with the aim of clear implementation of some algorithms.

huskarl
A framework for deep reinforcement learning focused on research and fast prototyping

 

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