Alternatives and similar repositories for ML_and_Rust

Users that are interested in ML_and_Rust are comparing it to the libraries listed below

• cmccomb / rust-automl
  Automated Machine Learning in Rust 🦀
  ☆38Updated 2 weeks ago
• mithril-security / bastionlab
  A simple framework for privacy-friendly data science collaboration
  ☆173Updated 2 years ago
• rust-ml / book
  The Rust Machine Learning Book
  ☆223Updated last year
• Apress / practical-machine-learning-w-rust
  Source Code for 'Practical Machine Learning with Rust' by Joydeep Bhattacharjee
  ☆82Updated 5 years ago
• liborty / rstats
  Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clif…
  ☆56Updated last year
• davechallis / rust-xgboost
  Rust bindings for XGBoost.
  ☆113Updated last year
• krfricke / arima
  ARIMA modelling for Rust
  ☆39Updated last year
• It4innovations / rsds
  Dask scheduler written in Rust
  ☆108Updated last year
• nestordemeure / friedrich
  A Rust implementation of Gaussian Process regression.
  ☆56Updated last year
• nogibjj / rust-pytorch-gpu-template
  Rust PyTorch GPU configuration
  ☆49Updated 2 years ago
• AnicetNgrt / jiro-nn
  A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
  ☆132Updated 2 years ago
• cksac / rai
  RAI: Rust ML framework with composable transformations like JAX.
  ☆94Updated last year
• ritchie46 / lsh-rs
  Locality Sensitive Hashing in Rust with Python bindings
  ☆118Updated 2 years ago
• EnzymeAD / oxide-enzyme
  Enzyme integration into Rust. Experimental, do not use.
  ☆101Updated 2 years ago
• jinlow / forust
  A lightweight gradient boosted decision tree package.
  ☆78Updated 5 months ago
• willcrichton / corrset-benchmark
  A repository to test different performance optimizations in a sparse matrix computation.
  ☆46Updated last year
• rust-or / rust-lp-modeler
  Lp modeler written in Rust
  ☆103Updated 4 years ago
• smartcorelib / smartcore-examples
  SmartCore examples
  ☆15Updated 2 years ago
• nogibjj / candle-cookbook
  Cookbook to build Rust Candle models
  ☆81Updated last year
• felix-clark / ndarray-glm
  Rust library for linear, logistic, and generalized linear model regression
  ☆26Updated last year
• sarah-quinones / gemm
  ☆93Updated 9 months ago
• deepcausality-rs / deep_causality
  Hyper-geometric computational causality for Rust
  ☆220Updated this week
• BurtonQin / Awesome-Rust-Neural-Network
  A curated collection of Rust projects related to neural networks, designed to complement "Are We Learning Yet."
  ☆58Updated 4 months ago
• statrs-dev / statrs
  Statistical computation library for Rust
  ☆735Updated 3 weeks ago
• LukeMathWalker / ndarray-koans
  Material for "ML Introduction to ndarray" workshop at RustFest 2019.
  ☆115Updated 4 years ago
• charles-r-earp / autograph
  A machine learning library for Rust.
  ☆329Updated last year
• rust-dd / stochastic-rs
  stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance…
  ☆98Updated 2 months ago
• rust-ndarray / ndarray-stats
  Statistical routines for ndarray
  ☆213Updated last year
• FL33TW00D / rustDTW
  Python extension backed by a multi-threaded Rust implementation of Dynamic Time Warping (DTW).
  ☆26Updated 4 years ago
• aftix / bacon
  Scientific Computing in Rust
  ☆191Updated 3 weeks ago