huangzizheng01

llm-continual-learning-survey

Continual Learning of Large Language Models: A Comprehensive Survey

ShuffleMamba

Code of paper 'Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training'

MiniCPM-V

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Awesome-Multimodal-Large-Language-Models

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

Mamba-Reg

CuMo

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

DeMamba

This repository is the code of paper 'DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark'.

Osprey

[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

Awesome-Embodied-AI

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

mae_segmentation

reproduction of semantic segmentation using masked autoencoder (mae)

dbot

[ICLR2024] Exploring Target Representations for Masked Autoencoders

meru

Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023

Pretrained-IPT

DASR

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

EVA

EVA Series: Visual Representation Fantasies from BAAI

awesome-computer-vision

A curated list of awesome computer vision resources

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

MACL

This repo is the code of paper "Model-Aware Contrastive Learning: Towards Escaping Dilemmas" (ICML'2023).

paper-reading

深度学习经典、新论文逐段精读

lightly

A python library for self-supervised learning on images.

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

DiffusionInst

This repo is the code of paper "DiffusionInst: Diffusion Model for Instance Segmentation" (ICASSP'24).

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

SimCSE

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

ssl-transfer

Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods