Stars
📚 A collection of sketch based application papers.
Official Repository of "Learning to Reason under Off-Policy Guidance"
A generative world for general-purpose robotics & embodied AI learning.
Enjoy the magic of Diffusion models!
A pipeline parallel training script for diffusion models.
A pipeline parallel training script for diffusion models.
A powerful tool for creating fine-tuning datasets for LLM
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。
Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)
WWW2025 Multimodal Intent Recognition for Dialogue Systems Challenge
Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
Building modular LMs with parameter-efficient fine-tuning.
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Official PyTorch implementation of "Multi-modal Queried Object Detection in the Wild" (accepted by NeurIPS 2023)
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting