Ultralytics YOLO11 🚀

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

An open source implementation of CLIP.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Mac-style shortcut keys for Linux & Windows.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Torchreid: Deep learning person re-identification in PyTorch.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

SOTA Re-identification Methods and Toolbox

EVA Series: Visual Representation Fantasies from BAAI

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximu…

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

The basic distribution probability Tutorial for Deep Learning Researchers

YACS -- Yet Another Configuration System

COYO-700M: Large-scale Image-Text Pair Dataset

Data compression in TensorFlow

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

Code for Text2Human (SIGGRAPH 2022). Paper: Text2Human: Text-Driven Controllable Human Image Generation

LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)

Examples for https://github.com/optuna/optuna

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

Deep Learning for Person Re-identification: A Survey and Outlook

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

[AAAI 2019] Spatial Temporal Re-identification