xinyu1205

recognize-anything

Open-source and strong foundation image recognition models.

robust-loss-mlml

Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels

IDEA-pytorch

Code for paper: IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training [ACM MM2022]

Implementation-and-hiding-analysis-of-reversible-steganography-algorithm-based-on-deep-learning

xinyu1205.github.io

ActionCLIP

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

ALBEF

Code for ALBEF: a new vision-language pre-training method

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

CLIP

Contrastive Language-Image Pretraining

daily_fudan

一键平安复旦小脚本，自动化快速上报疫情

Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Tag2Text & Stable Diffusion & BLIP & Whisper - Automatically Recognize, Detect, Segment and Generate Anything with Image, Text, and Speech Inputs

GroundingDINO

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

object_detection_metrics

Object Detection Metrics

query2labels

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

rentainhe

ssl-small

Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

txsun1997.github.io

xinyu1205