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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.
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
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.
PyTorch Volume Models for 3D data
💡💡💡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】
Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.
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.
PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡
