A Real-World Benchmark for Reinforcement Learning based Recommender System

A curated list of awesome model based RL resources (continually updated)

A collection of offline reinforcement learning algorithms.

Collection of Alacritty color schemes

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

A benchmark for spaced repetition schedulers/algorithms

Linux kernel module for Thrustmaster T300RS, T248 and (experimental) TX, T128, T-GT II and TS-XW wheels

Driver and tools for controlling Lenovo Legion laptops in Linux including fan control and power mode.

Official code of RLTutor accepted at AI4EDU Workshop @ IJCAI2021

Bringing the Helix editor to the evil side

WSDM'2021: Temporal Cross-Effects in Knowledge Tracing

Computerized Adaptive Testing

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory

A Vim-like configuration for Helix

A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling

Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

Some Reinforcement Learning in Python

Introduction to Reinforcement Learning in Python

An offline deep reinforcement learning library

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Implementation of the Differentiable Product Quantization component in Pytorch.

Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"

Curated list of publically available railway related datasets captured with point cloud data.

Versatile End-to-End Recommender System

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET develo…

VQVAEs, GumbelSoftmaxes and friends

minimal cross-platform standalone C headers