### 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