neptune-contrib VS MLP Classifier

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

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neptune-contrib MLP Classifier
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27 225
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0.0 0.0
over 1 year ago about 7 years ago
Python Python
MIT License MIT License
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.

neptune-contrib

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.

MLP Classifier

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

We haven't tracked posts mentioning MLP Classifier yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing neptune-contrib and MLP Classifier you can also consider the following projects:

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

Keras - Deep Learning for humans

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

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

HotBits Python API - Python API for HotBits random data generator

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

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