idist-snippets VS ignite

Compare idist-snippets vs ignite and see what are their differences.

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)
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idist-snippets ignite
1 3
4 4,458
- 0.4%
0.0 8.7
almost 3 years ago 3 days ago
Python Python
- BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

idist-snippets

Posts with mentions or reviews of idist-snippets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

ignite

Posts with mentions or reviews of ignite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.
  • Introducing PyTorch-Ignite's Code Generator v0.2.0
    2 projects | dev.to | 31 Aug 2021
    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.
  • Distributed Training Made Easy with PyTorch-Ignite
    7 projects | dev.to | 10 Aug 2021
    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.
  • Introduction to PyTorch-Ignite
    1 project | dev.to | 10 Aug 2021
    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?

When comparing idist-snippets and ignite you can also consider the following projects:

gloo - Collective communications library with various primitives for multi-machine training.

torch-metrics - Metrics for model evaluation in pytorch

why-ignite - Why should we use PyTorch-Ignite ?

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.

NCCL - Optimized primitives for collective multi-GPU communication

prometheus_flask_exporter - Prometheus exporter for Flask applications

xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)

pymetrix - A simple Plug and Play Library for getting analytics. See website for docs.

ompi - Open MPI main development repository

code-generator - Web Application to generate your training scripts with PyTorch Ignite