1349949

1349949's Stars

• yt-dlp/yt-dlp

  A feature-rich command-line audio/video downloader

  Language:Python96.9k5468.5k7.6k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++70.8k5604.3k10.2k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.6k3061.4k2.6k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  13.6k263130863

• LargeWorldModel/LWM

  Large World Model -- Modeling Text and Video with Millions Context

  Language:Python7.2k6671554

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7.1k3778551

• THUDM/CogVLM

  a state-of-the-art-level open visual language model | 多模态预训练模型

  Language:Python6.3k69433426

• QwenLM/Qwen-VL

  The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

  Language:Python5.3k50456404

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek3, ...) and 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

  Language:Python5.1k231.5k442

• SCIR-HI/Huatuo-Llama-Med-Chinese

  Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

  Language:Python4.6k49107464

• open-compass/opencompass

  OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

  Language:Python4.5k27587478

• shibing624/MedicalGPT

  MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

  Language:Python3.5k40401516

• ytongbai/LVM

  Language:Python1.8k1172455

• shikras/shikra

  Language:Python75686645

• mlfoundations/datacomp

  DataComp: In search of the next generation of multimodal datasets

  Language:Python674176556

• BradyFU/Woodpecker

  ✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.

  Language:Python627161330

• lucidrains/magvit2-pytorch

  Implementation of MagViT2 Tokenizer in Pytorch

  Language:Python588273533

• baaivision/Uni3D

  [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

  Language:Python516152630

• magic-research/bubogpt

  BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs

  Language:Python506101935

• OpenGVLab/all-seeing

  [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of the Open World"

  Language:Python472232417

• TonyLianLong/LLM-groundedDiffusion

  LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)

  Language:Python445131929

• OpenDriveLab/ST-P3

  [ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

  Language:Python34592738

• LinShan-Bin/OccNeRF

  Code of "OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments".

  Language:Python325102718

• tsb0601/MMVP

  Language:Python30410278

• bytedance/lynx-llm

  paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/

  Language:Python237868

• FreedomIntelligence/Huatuo-26M

  The Largest-scale Chinese Medical QA Dataset： with 26,000,000 question answer pairs.

  23491024

• E2E-AD/AD-MLP

  Language:Python2019515

• wudongming97/Prompt4Driving

  [AAAI2025] Language Prompt for Autonomous Driving

  Language:Python1271260

• mynameischaos/Lion

  Lion: Kindling Vision Intelligence within Large Language Models

  52251

• will-singularity/Skywork-MM

  Empirical Study Towards Building An Effective Multi-Modal Large Language Model

  23221