torch-metrics
ignite
Our great sponsors
| torch-metrics | ignite | |
|---|---|---|
| 2 | 3 | |
| 109 | 4,453 | |
| - | 0.7% | |
| 1.8 | 8.5 | |
| about 3 years ago | 2 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
torch-metrics
- Torch Metrics Library
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[P] Contributions needed for PyTorch metrics library
Hi all I've created a metrics library for PyTorch here but will need lots of contributions to make it as user friendly as possible. Feature requests/ contributions are welcome :) Feel free to use it in your projects if you find it useful. Thanks.
ignite
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Introducing PyTorch-Ignite's Code Generator v0.2.0
Along with the PyTorch-Ignite 0.4.5 release, we are excited to announce the new release of the web application for generating PyTorch-Ignite's training pipelines. This blog post is an overview of the key features and updates of the Code Generator v0.2.0 project release.
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Distributed Training Made Easy with PyTorch-Ignite
PyTorch-Ignite's ignite.distributed (idist) submodule introduced in version v0.4.0 (July 2020) quickly turns single-process code into its data distributed version.
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Introduction to PyTorch-Ignite
More details about distributed helpers provided by PyTorch-Ignite can be found in the documentation. A complete example of training on CIFAR10 can be found here.
What are some alternatives?
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
image-similarity-measures - :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
prometheus_flask_exporter - Prometheus exporter for Flask applications
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)
onemetric - One Metrics Library to Rule Them All!
code-generator - Web Application to generate your training scripts with PyTorch Ignite
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pymetrix - A simple Plug and Play Library for getting analytics. See website for docs.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
idist-snippets