Frank Röder's Projects
A repository of high-performing hierarchical reinforcement learning models and algorithms.
Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"
Deep Learning for humans
A customisable 3D platform for agent-based AI research
OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning
llvm_mpi_checks
Multi-Joint dynamics with Contact. A general purpose physics simulator.
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Vim-fork focused on extensibility and usability
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements.
An Open Source Machine Learning Framework for Everyone
World Models Experiments
A tiling window manager for macOS based on binary space partitioning