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.
Modern human action classification system using MediaPipe pose estimation and PyTorch deep learning, achieving 47x faster inference than the original TensorFlow implementation. Supports 100+ model architectures for classifying 40 human actions with real-time performance suitable for autonomous vehicles and video surveillance.
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
PyTorch Volume Models for 3D data
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
💡💡💡awesome compute vision app in gradio
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
Attribution methods that explain image classification models, implemented in PyTorch, and support batch inputs and GPU.
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.
Jax/Flax implementation of DeiT and DeiT-III (ViT)
Add a description, image, and links to the timm topic page so that developers can more easily learn about it.
To associate your repository with the timm topic, visit your repo's landing page and select "manage topics."