View model summaries in PyTorch!
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Updated
Jul 8, 2024 - Python
View model summaries in PyTorch!
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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.
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.
An Opensource mouth tracking method for VR
opencv reimplement for transforms in torchvision
多模态情感分析——基于BERT+ResNet的多种融合方法
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Super Resolution datasets and models in Pytorch
Wheat Detection challenge on Kaggle
Running YOLOv5 through web browser using Flask microframework
A neural network framework for researchers studying acoustic communication
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
Batch equivalent of PyTorch Transforms.
A better PyTorch data loader capable of custom image operations and image subsets
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