🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

291a group project repo: codeChain

Official code of paper "DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution"

✨✨Latest Advances on Multimodal Large Language Models

Reading list for research topics in multimodal machine learning

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 library for advanced large language model reasoning

Open-source evaluation toolkit of large vision-language models (LVLMs), support 160+ VLMs, 50+ benchmarks

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

The reinforcement learning training code for AgiBot X1.

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.

A high-throughput and memory-efficient inference and serving engine for LLMs

Next-Token Prediction is All You Need

world modeling challenge for humanoid robots

API to run VirtualHome, a Multi-Agent Household Simulator

Official repository for Decentralized Arena via Collective LLM Intelligence

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

[TMLR 2024] Efficient Large Language Models: A Survey

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

📖A curated list of Awesome LLM Inference Papers with codes. 🎉🎉

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

compiler learning resources collect.

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Interact with your documents using the power of GPT, 100% privately, no data leaks

本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/