There are 2 repositories under timm topic.
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, ResNet features.
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
Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.
【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】
A simple wrapper library for binding timm models as detectron2 backbones
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Multi-label classification based on timm, and add SimCLR to timm.
💡💡💡awesome compute vision app in gradio
Simple image classification for custom dataset (pytorch-lightning, timm)
Benchmarks for popular neural network models supported by timm
🥈12th place solution on G2Net Detecting Continuous Gravitational Waves🥈
PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡
Jax/Flax implementation of DeiT and DeiT-III
The AI framework for software engineers
Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
Sudoku Analysis Software
Attribution methods that explain image classification models, implemented in PyTorch, and support batch input and GPU.
Deep learning based color transfer between images.
Classification models with pretrained backbones. PyTorch. Easy to use baseline to train your models
usefull toy projects
building a multitask training platform based on Pytorch
The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information
A general deep learning project that can be easily transferred to other specific tasks.
Image search engine
This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.