Minimal neural network implementation

This page summarizes the projects mentioned and recommended in the original post on /r/C_Programming

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  • NeuralNetworkInAllLangs

    Vanilla neural network implemented in all major languages

  • llama2.c

    Inference Llama 2 in one file of pure C

  • A bit off topic but ML-guru Mr Karpathy has implemented a state-of-art Llama2 model in a plain C with no dependencies on 3rd party/freeware libraries. See repo.

  • 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.

    InfluxDB logo
  • LuaNdarray

    a linear algebra library for Lua implemented in C behind the scenes for maximum performance

  • but I have a question here, I'm implementing an advanced linear algebra lib in C for Lua, and consequently it can be used in C too (I can't guarantee it will be as intuitive in C LOL) and I wanted to ask if I can use it because it is very convenient and would be almost the same as Numpy, and I wanted to ask if I can use it as the main dependency of my project, if you are interested, its open source project is here: https://github.com/ErickProgramer/LuaNdarray

  • NeuralNetworkInAllLangs

    Vanilla neural network implemented in all major languages (by org-tekeli-borisp)

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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