xiyanghu

xiyanghu's Stars

• abi/screenshot-to-code

  Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

  Language:Python64k3743277.8k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python35.2k2145.4k4.3k

• microsoft/autogen

  A programming framework for agentic AI 🤖

  Language:Python35k4092k5.1k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.6k2185562.7k

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.9k551.5k1.3k

• facebookresearch/sapiens

  High-resolution models for human tasks.

  Language:Python4.6k45160261

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)

  Language:Python4.4k221.4k389

• QwenLM/Qwen2-VL

  Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

  Language:Python3.3k29406208

• IDEA-Research/DWPose

  "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

  Language:Python2.3k3098144

• PowerHouseMan/ComfyUI-AdvancedLivePortrait

  Language:Python1.9k1762168

• THUDM/ImageReward

  [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

  Language:Python1.2k149465

• tgxs002/HPSv2

  Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

  Language:Jupyter Notebook403104112

• facebookresearch/MovieGenBench

  Movie Gen Bench - two media generation evaluation benchmarks released with Meta Movie Gen

  33931118

• zqhang/AnomalyCLIP

  Official implementation for AnomalyCLIP (ICLR 2024)

  Language:Python28785630

• cascremers/pdfdiff

  Command-line tool to inspect the difference between (the text in) two PDF files

  Language:Python2264517

• zhangfaen/finetune-Qwen2-VL

  Language:Jupyter Notebook21921921

• mihirp1998/VADER

  Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.

  Language:Python21471614

• TIGER-AI-Lab/Mantis

  Official code for Paper "Mantis: Multi-Image Instruction Tuning" (TMLR2024)

  Language:Python18792115

• apple/ml-slowfast-llava

  SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

  Language:Python18010411

• caoyunkang/AdaCLIP

  [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

  Language:Python1383184

• Yushi-Hu/VisualSketchpad

  Codes for Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

  Language:Jupyter Notebook126887

• Kwai-Kolors/MPS

  Language:Python1164106

• Yu-Fangxu/COLD-Attack

  [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

  Language:Python11441120

• aounon/llm-rank-optimizer

  Language:Python796120

• zwq2018/Multi-modal-Self-instruct

  The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

  Language:Python56314

• Hritikbansal/videophy

  Video Generation, Physical Commonsense, Semantic Adherence, VideoCon-Physics

  Language:Python55225

• lapisrocks/rpo

  Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"

  Language:Python43125

• Ahren09/AgentReview

  Official Implementation for EMNLP 2024 (main) "AgentReview: Exploring Academic Peer Review with LLM Agent."

  Language:Jupyter Notebook36106

• yongchao98/PROMST

  Automatic prompt optimization framework for multi-step agent tasks.

  Language:PDDL21112

• duykhuongnguyen/LASeR-MAB

  Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"

  Language:Python120