Using const generics to build neural networks

• gamma

  8 381 0.0 Rust

  Computational graphs with reverse automatic differentation in the GPU

https://github.com/c0dearm/gamma/pull/1 first pr :)

• dumbnet

  1 23 0.0 Rust

  a no_std neural network

this looks a lot like what i did with dumbnet (docs), only that back then const generics were not available and i had to use typenum.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• NetCompression

  1 1 0.0 Jupyter Notebook

  Proof of concept of running a sparse network bare metal on a 2$ riscv CPU, using a custom network compiler.

I post it here in case you find something useful inside. https://github.com/Imakoala/NetCompression

• neurotic

  1 1 0.0 Rust

  The compile-time feedforward neural network library that no one asked for

I too did something similar pre const generics, using nalgebra for the compile-time data type sizes. There are dozens of us... dozens!

Suggest a related project