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The Wayback Machine - https://web.archive.org/web/20211108015530/https://github.com/topics/torchvision
Here are
166 public repositories
matching this topic...
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Updated
Mar 16, 2021
Jupyter Notebook
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Updated
Feb 19, 2020
Python
View model summaries in PyTorch!
Updated
Nov 2, 2021
Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Updated
Jul 21, 2021
Jupyter Notebook
🔥 TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Updated
Aug 30, 2020
Python
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Updated
Jun 24, 2021
Python
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
Updated
Dec 7, 2019
Python
opencv reimplement for transforms in torchvision
Updated
Sep 8, 2021
Python
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief)
Updated
Nov 7, 2021
Python
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Updated
Aug 3, 2021
Python
TorchGeo: datasets, transforms, and models for geospatial data
Updated
Nov 8, 2021
Python
Offline documentation built from official PyTorch release
Updated
Jun 16, 2021
HTML
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Updated
Jul 26, 2021
Python
Super Resolution datasets and models in Pytorch
Updated
Jul 15, 2021
Python
Wheat Detection challenge on Kaggle
Updated
Sep 8, 2021
Python
Updated
Aug 30, 2021
Jupyter Notebook
PyTorch 1.7.0 and torchvision 0.8.0 builds for RaspberryPi 4 (32bit OS)
My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Updated
Oct 11, 2018
Jupyter Notebook
Running YOLOv5 through web browser using Flask microframework
Updated
Sep 22, 2020
Python
Object detection for autonomous navigation systems
Updated
Apr 11, 2020
Jupyter Notebook
Computer vision library for wildfire detection
Updated
Nov 1, 2021
Python
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
Updated
Nov 3, 2021
Python
Batch equivalent of PyTorch Transforms.
Updated
Oct 18, 2021
Python
Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.
Updated
Oct 2, 2018
Python
a neural network toolbox for animal vocalizations and bioacoustics
Updated
Oct 9, 2021
Python
PyTorch installation wheels for Raspberry Pi 64 OS
A collection of Hyper parameter tuning library.
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Feature Request
Description of Problem:
We've taken a fairly risky/bad approach by just resorting to setting function params to arbitrary defaults when they aren't passed in. While this works sometimes, I think we've overused this approach and should really trim parts of it down.
Potential Solutions:
Eliminate optional parameters in any non-public function, and actually throw ex