gaohailiang520

gaohailiang520's Stars

• moymix/TaskMatrix

  Language:Python34.5k3093483.3k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python29.9k2175452.7k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.3k2184592.9k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook9.9k84248817

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.7k97653949

• facebookresearch/llama-recipes

  Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

  Language:Jupyter Notebook7.8k682271.1k

• PKU-YuanGroup/Video-LLaVA

  【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

  Language:Python2.9k28179207

• DAMO-NLP-SG/Video-LLaMA

  [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

  Language:Python2.7k32156243

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.2k32261242

• DmitryRyumin/ICCV-2023-Papers

  ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python918131042

• google-deepmind/materials_discovery

  Language:Jupyter Notebook8694522138

• OpenDriveLab/DriveLM

  [ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

  Language:HTML805198450

• Curt-Park/segment-anything-with-clip

  Segment Anything combined with CLIP

  Language:Python3291423

• fundamentalvision/Uni-Perceiver

  Language:Python26691821

• azshue/TPT

  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))

  Language:Python13631516

• MediaBrain-SJTU/EqMotion

  [CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

  Language:Python1141813

• starmemda/CAMoE

  Language:Python94699

• IMCCretrieval/ProST

  Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval --ICCV2023 Oral

  Language:Python89371

• whwu95/ATM

  【ICCV'2023】What Can Simple Arithmetic Operations Do for Temporal Modeling?

  Language:Python73845

• chunmeifeng/FedPR

  【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction

  Language:Python42214

• ArsenalCheng/Meta-Adapter

  [NeurIPS 2023] Meta-Adapter

  Language:Python35320

• cvlab-stonybrook/fsl-rsvae

  Language:Python34654

• shuanglinyan/CFine

  CLIP-Driven Fine-grained Text-Image Person Re-identification

  Language:Python33481

• tomchen-ctj/OST

  【CVPR'24】OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition

  Language:Python33430

• skelemoa/synse-zsl

  Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

  Language:Jupyter Notebook294144

• wlin-at/MAXI

  MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge (ICCV 2023)

  Language:Python25353

• YujieOuO/SMIE

  This is an official PyTorch implementation of "Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization" in ACMMM 2023.

  Language:Python21234

• KPeng9510/RelaMiX

  Language:Python19110

• Sarinda251/CDFSL-V

  Accepted at ICCV '23

  Language:Python13130

• HuiGuanLab/Lite-MKD

  Source code of our MM'23 paper Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition

  Language:Python3220