TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

View model summaries in PyTorch!

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Python library for analysing faces using PyTorch

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

A DIY mouth tracking method for VR

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

多模态情感分析——基于BERT+ResNet的多种融合方法

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

💎A high level pipeline for face landmarks detection: train, eval, inference (Python/C++) and 100+ data augmentations.

Super Resolution datasets and models in Pytorch

opencv reimplement for transforms in torchvision

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Wheat Detection challenge on Kaggle

A neural network framework for researchers studying acoustic communication

Running YOLOv5 through web browser using Flask microframework

💡💡💡awesome compute vision app in gradio

Face Anti-Spoofing project. Lanit-Tercom summer school 2022

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models