TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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Updated
Jan 31, 2025 - Python
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"
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
An open-source mouth tracking method for VR
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
多模态情感分析——基于BERT+ResNet的多种融合方法
💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.
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
Running YOLOv5 through web browser using Flask microframework
A neural network framework for researchers studying acoustic communication
💡💡💡awesome compute vision app in gradio
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
Face Anti-Spoofing project. Lanit-Tercom summer school 2022
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