Corgi: Rust neural network/dynamic automatic differentiation library I have been working on

1. corgi

   1 2 24 4.4 Rust

   A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)

   

   Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. L2

   2 2 196 0.0 Rust

   l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

   

   this is really cool! i wrote a library a lot like this last year (https://github.com/bilal2vec/L2) and wrote up a very WIP blog post (https://bilal2vec.github.io/blog/rust/2020/08/02/writing-a-machine-learning-library-in-rust.html) about how i made it if y'all are interested ;)

4. Java-Machine-Learning

   3 1 133 0.0 Java

   Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.

   

   holyyy another '25 :o I only know one other guy who made a autograd library while in hs/first year uni (https://github.com/Daniel-Liu-c0deb0t/Java-Machine-Learning) so it is so cool to see other people doing this!!

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