Rust-Keras-Like VS Rust_RL

Compare Rust-Keras-Like vs Rust_RL and see what are their differences.

Rust-Keras-Like

pure rust implementaion for deep learning library like keras (by AhmedBoin)

Rust_RL

A Reinforcement Learning / Neural Network library, written in Rust. (by ZuseZ4)
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Rust-Keras-Like Rust_RL
3 3
55 19
- -
10.0 0.0
over 1 year ago about 3 years ago
Rust Rust
Mozilla Public License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Rust-Keras-Like

Posts with mentions or reviews of Rust-Keras-Like. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-19.

Rust_RL

Posts with mentions or reviews of Rust_RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-23.
  • I made a Neural Network library from scratch in Rust trying to solve a regression problem for my university's ML course
    5 projects | /r/rust | 23 Apr 2023
    Nothing wrong with that! I also learned Rust while writing DL/RL algorithms: https://github.com/ZuseZ4/Rust_RL/
  • Reinforcement Learning Tic Tac Toe
    3 projects | /r/rust | 23 Sep 2022
    Nice, also worked on tic-tac-toe / Neural Networks / Agents to get into Rust / RL: https://github.com/ZuseZ4/Rust_RL/
  • Teaching Rust at the University of Warsaw
    10 projects | /r/rust | 5 Jan 2022
    I'm just finishing undergrad studies and wrote a Reinforcement Learning Library (https://github.com/ZuseZ4/Rust_RL) including double-deep-q learning with replay buffer in pure rust to learn the language. I'm also trying to get Rust into shape for data science, but I'd vote against using it as an example in introduction classes. Pure Python (which wraps around C++) will usually be simpler and faster for users, leaving few reasons to focus on this in a lecture. Furthermore, even if we are into ML, there are probably quite a few people who'd pick such a lesson to learn about Rust, not about Machine Learning. For the latter, there are at least in the Universities I know, more than enough offers.

What are some alternatives?

When comparing Rust-Keras-Like and Rust_RL you can also consider the following projects:

nv-wavenet - Reference implementation of real-time autoregressive wavenet inference

GodotRoguelikeTutorial - A guide to build a simple Roguelike game with Godot engine.

Perceptrons

neural_networks_rust - A Deep Learning and preprocessing framework in Rust with support for CPU and GPU. [Moved to: https://github.com/AnicetNgrt/jiro-nn]

rust-projects - Projects created for the Rust course at FMI

the-algorithm

game-jam-template - HaxeFlixel game jam template with automated HTML5 build deployment to GitHub Pages

rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

Roguelike_July_2021_

dfdx - Deep learning in Rust, with shape checked tensors and neural networks

ece459 - ECE 459: Programming for Performance