Stars
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
Minimalistic 4D-parallelism distributed training framework for education purpose
Visualize, query, and stream to train on multimodal robotics data.
LaTeX class file for writing dissertations at UC San Diego
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dat…
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
How to use bounding boxes with the Gemini API
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Unofficial baselines for ManiSkill, including RL and BC algorithms.
Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
This is the official PyTorch implementation of the paper "Boosting Continuous Control with Consistency Policy".
The simplest, fastest repository for training/finetuning medium-sized GPTs.
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)