Lists (1)
Sort Name ascending (A-Z)
Stars
Embodied Reasoning Question Answer (ERQA) Benchmark
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
A curated list of reinforcement learning with human feedback resources (continually updated)
https://arxiv.org/abs/2312.10807
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
A novel view multi-spectral images synthesis NeRF
We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
OLMoE: Open Mixture-of-Experts Language Models
A tutorial about diffusion model application in planning and control.
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
A repo lists papers related to LLM based agent
Files and intro page for first version of CM6 COBOT robotic arm
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
Neural theorem proving tutorial, version II
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
A curated list of papers on explainability and interpretability of self-driving models
An Open-source Toolkit for LLM Development