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Columbia University
- New York
- https://jxu.ai/
- @drjingxi
Highlights
- Pro
Stars
C++ and Python SDK for ARX5 robot arm develeoped by @yihuai-gao (@real-stanford)
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
🙃 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)
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Ray is an AI compute engine. 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