iNeural : Update (8.12.21)

This page summarizes the projects mentioned and recommended in the original post on dev.to
Machine Learning Library Artificial intelligence Deep Learning neural-network

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  • fann

    Official github repository for Fast Artificial Neural Network Library (FANN)

    It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.

  • Pylearn2

    Warning: This project does not have any current developer. See bellow.

    It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • iNeural

    A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.

    git clone https://github.com/fkkarakurt/iNeural.git

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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