COLLECTED BY
Organization:
Internet Archive
Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Wayback Machine - https://web.archive.org/web/20220222040751/https://github.com/topics/torchvision
Here are
185 public repositories
matching this topic...
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Updated
Jan 21, 2022
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
Feb 22, 2022
Python
TorchGeo: datasets, transforms, and models for geospatial data
Updated
Feb 21, 2022
Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Updated
Dec 28, 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
Jan 19, 2022
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
Jan 14, 2022
Python
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Updated
Dec 25, 2021
Jupyter Notebook
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Updated
Aug 3, 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
Jan 26, 2022
Python
Wheat Detection challenge on Kaggle
Updated
Jan 13, 2022
Python
PyTorch 1.7.0 and torchvision 0.8.0 builds for RaspberryPi 4 (32bit OS)
Jetson Nano with Ubuntu 20.04 image
Updated
Aug 30, 2021
Jupyter Notebook
PyTorch installation wheels for Raspberry Pi 64 OS
Running YOLOv5 through web browser using Flask microframework
Updated
Sep 22, 2020
Python
My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Updated
Oct 11, 2018
Jupyter Notebook
Object detection for autonomous navigation systems
Updated
Nov 30, 2021
Jupyter Notebook
Computer vision library for wildfire detection
Updated
Feb 14, 2022
Python
Batch equivalent of PyTorch Transforms.
Updated
Dec 17, 2021
Python
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
Updated
Nov 3, 2021
Python
Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.
Updated
Oct 2, 2018
Python
A collection of Hyper parameter tuning library.
Improve this page
Add a description, image, and links to the
torchvision
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
torchvision
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
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