pyart
ignite
pyart | ignite | |
---|---|---|
1 | 3 | |
479 | 4,459 | |
1.3% | 0.4% | |
8.5 | 8.7 | |
about 23 hours ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
pyart
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Free velocity radars
There is a command line tool called "radar_plot" : https://github.com/ARM-DOE/pyart/blob/master/scripts/radar_plot
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?
matplotlib - matplotlib: plotting with Python
torch-metrics - Metrics for model evaluation in pytorch
streamlit - Streamlit — A faster way to build and share data apps.
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.
prometheus_flask_exporter - Prometheus exporter for Flask applications
pymetrix - A simple Plug and Play Library for getting analytics. See website for docs.
xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)
code-generator - Web Application to generate your training scripts with PyTorch Ignite
gloo - Collective communications library with various primitives for multi-machine training.
idist-snippets
why-ignite - Why should we use PyTorch-Ignite ?
NCCL - Optimized primitives for collective multi-GPU communication