pytorch-lightning VS fairscale

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

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. (by PyTorchLightning)

fairscale

PyTorch extensions for high performance and large scale training. (by facebookresearch)
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pytorch-lightning fairscale
12 4
16,408 1,516
3.5% 3.6%
9.9 9.2
2 days ago 4 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

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 2021-11-18.

fairscale

Posts with mentions or reviews of fairscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-27.

What are some alternatives?

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

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

detectron2 - Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

pytorch-grad-cam - Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

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

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

pytorch-forecasting - Time series forecasting with PyTorch

guildai - Experiment tracking, ML developer tools

tmux - tmux source code

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

Keras - Deep Learning for humans

fiftyone - The open-source tool for building high-quality datasets and computer vision models