pytorch-lightning VS Keras

Compare pytorch-lightning vs Keras 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)
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pytorch-lightning Keras
17 48
18,442 55,214
3.3% 0.7%
9.9 9.9
4 days ago 4 days ago
Python Python
Apache License 2.0 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.

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.

Keras

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-09.

What are some alternatives?

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

scikit-learn - scikit-learn: machine learning in Python

mmdetection - OpenMMLab Detection Toolbox and Benchmark

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

tensorflow - An Open Source Machine Learning Framework for Everyone

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

pytorch-grad-cam - Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

sparktorch - Train and run Pytorch models on Apache Spark.

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