Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

Simple Implementation of Pix2Seq model for object detection in PyTorch

Multi-label classification based on timm.

Encoder-Decoder Cell and Nuclei segmentation models

A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.

Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.

💡💡💡awesome compute vision app in gradio

【Demo】基于CNN实现对摄像头捕捉的人脸进行性别和年龄的预测【于2023.10.10更新】

PyTorch Volume Models for 3D data

A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

A simple wrapper library for binding timm models as detectron2 backbones

Multi-label classification based on timm, and add SimCLR to timm.

Simple image classification for custom dataset (pytorch-lightning, timm)

Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations

Clean, reproducible, boilerplate-free deep learning project template.

Benchmarks for popular neural network models supported by timm

PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡