tfka

tfka's Stars

• DirtyHarryLYL/LLM-in-Vision

  Recent LLM-based CV and related works. Welcome to comment/contribute!

  84836

• THUDM/WebGLM

  WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

  Language:Python1.6k137

• google/break-a-scene

  Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]

  Language:Python50924

• Alibaba-NLP/EcomGPT

  An Instruction-tuned Large Language Model for E-commerce

  Language:Python23314

• neulab/prompt2model

  prompt2model - Generate Deployable Models from Natural Language Instructions

  Language:Python2k178

• 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:Python5.3k404

• DCDmllm/Cheetah

  Language:Python36135

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript32.9k5.7k

• yanqiangmiffy/Chinese-LangChain

  中文langchain项目|小必应，Q.Talk，强聊，QiangTalk

  Language:Python2.7k328

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook98k15.9k

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.7k228

• salesforce/DialogStudio

  DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI

  Language:Python48534

• AILab-CVC/SEED

  Official implementation of SEED-LLaMA (ICLR 2024).

  Language:Python59532

• OpenGVLab/Ask-Anything

  [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

  Language:Python3.1k256

• OSU-NLP-Group/Mind2Web

  [NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web"

  Language:Jupyter Notebook753105

• HazyResearch/TART

  TART: A plug-and-play Transformer module for task-agnostic reasoning

  Language:Python19215

• Victorwz/LongMem

  Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".

  Language:Python77470

• SHI-Labs/Matting-Anything

  Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

  Language:Python63048

• xinyu1205/recognize-anything

  Open-source and strong foundation image recognition models.

  Language:Jupyter Notebook3k281

• bojone/NBCE

  Naive Bayes-based Context Extension

  Language:Python32022

• dome272/Wuerstchen

  Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

  Language:Jupyter Notebook53435

• wade3han/champagne

  An official codebase for paper ":champagne: CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos (ICCV 23)"

  Language:Python521

• HenryHZY/Awesome-Multimodal-LLM

  Research Trends in LLM-guided Multimodal Learning.

  35616

• OFA-Sys/ExpertLLaMA

  An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.

  Language:Python29622

• cg1177/VideoLLM

  VideoLLM: Modeling Video Sequence with Large Language Models

  1543

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.8k3.5k

• aiwaves-cn/RecurrentGPT

  Official Code for Paper: RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

  Language:Python985157

• YBYBZhang/ControlVideo

  [ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

  Language:Python79657

• mit-han-lab/fastcomposer

  [IJCV] FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

  Language:Python68037

• silverriver/MMChat

  [LREC] MMChat: Multi-Modal Chat Dataset on Social Media

  Language:Python996