ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke

The simplest, fastest repository for training/finetuning medium-sized GPTs.

High-Resolution Image Synthesis with Latent Diffusion Models

Tactile Sensing and Simulation; Visual Tactile Manipulation; Open Source.

[RA-L / IROS 2022] TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors

A terminal spreadsheet multitool for discovering and arranging data

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

[IROS 2021] Dynamic Grasping with Reachability and Motion Awareness

Automatically exported from code.google.com/p/v-hacd

iterative closest point

vinca configuration files for ros-noetic

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

tmux source code

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

🌸 A command-line fuzzy finder

A tiling window manager for X11

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

A simple command line tool to wrap blender 2.8+ as a jupyter kernel.

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Open-source simulator for autonomous driving research.

Model summary in PyTorch similar to `model.summary()` in Keras

Python code to fuse multiple RGB-D images into a TSDF voxel volume.