recommenders VS pytorch-lightning

Compare recommenders vs pytorch-lightning and see what are their differences.

pytorch-lightning

Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning] (by PyTorchLightning)
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recommenders pytorch-lightning
4 18
13,803 19,188
2.5% -
9.9 9.9
5 days ago about 2 months ago
Python Python
MIT License Apache License 2.0
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.

recommenders

Posts with mentions or reviews of recommenders. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-04.

pytorch-lightning

Posts with mentions or reviews of pytorch-lightning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-16.

What are some alternatives?

When comparing recommenders and pytorch-lightning you can also consider the following projects:

mmdetection - OpenMMLab Detection Toolbox and Benchmark

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

sparktorch - Train and run Pytorch models on Apache Spark.

Keras - Deep Learning for humans

fastai - The fastai deep learning library

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

composer - Train neural networks up to 7x faster

metaflow - :rocket: Build and manage real-life data science projects with ease!

pytorch-forecasting - Time series forecasting with PyTorch

omegaconf - Flexible Python configuration system. The last one you will ever need.