neptune-contrib VS Keras

Compare neptune-contrib vs Keras and see what are their differences.

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neptune-contrib Keras
0 56
26 56,271
- 0.4%
1.0 9.8
12 months ago 7 days 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.


Posts with mentions or reviews of neptune-contrib. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.


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 2022-10-05.

What are some alternatives?

When comparing neptune-contrib 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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

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:]

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

skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning


Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

gensim - Topic Modelling for Humans