TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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Updated
Nov 27, 2024 - Python
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
View model summaries in PyTorch!
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Jetson Nano with Ubuntu 20.04 image
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
💎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.
多模态情感分析——基于BERT+ResNet的多种融合方法
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
opencv reimplement for transforms in torchvision
Super Resolution datasets and models in Pytorch
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Offline documentation built from official PyTorch release
Jetson Nano image with deep learning frameworks
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