(Data Science Humour) I've found this to be really accurate. Making something from scratch and then moving on to libraries is the best way to learn.

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning
Tensor Nim multidimensional-arrays Cuda Deep Learning

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  • Arraymancer

    A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

  • 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.

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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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