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 last month
• mithril-security / bastionlab
  A simple framework for privacy-friendly data science collaboration
  ☆174Updated 2 years ago
• rust-ml / book
  The Rust Machine Learning Book
  ☆223Updated last year
• 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.
  ☆114Updated last year
• smartcorelib / smartcore-examples
  SmartCore examples
  ☆15Updated 3 years ago
• Apress / practical-machine-learning-w-rust
  Source Code for 'Practical Machine Learning with Rust' by Joydeep Bhattacharjee
  ☆82Updated 5 years ago
• krfricke / arima
  ARIMA modelling for Rust
  ☆40Updated last year
• FL33TW00D / rustDTW
  Python extension backed by a multi-threaded Rust implementation of Dynamic Time Warping (DTW).
  ☆26Updated 4 years ago
• jinlow / forust
  A lightweight gradient boosted decision tree package.
  ☆79Updated 6 months ago
• nestordemeure / friedrich
  A Rust implementation of Gaussian Process regression.
  ☆56Updated last year
• AnicetNgrt / jiro-nn
  A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
  ☆132Updated 2 years ago
• felix-clark / ndarray-glm
  Rust library for linear, logistic, and generalized linear model regression
  ☆26Updated last year
• online-ml / watermill.rs
  🦀 Online statistics in Rust
  ☆72Updated 3 months ago
• deepcausality-rs / deep_causality
  Hyper-geometric computational causality for Rust
  ☆220Updated this week
• jeroenvlek / gpt-from-scratch-rs
  Andrej Karpathy's Let's build GPT: from scratch video & notebook implemented in Rust + candle
  ☆77Updated last year
• BurtonQin / Awesome-Rust-Neural-Network
  A curated collection of Rust projects related to neural networks, designed to complement "Are We Learning Yet."
  ☆59Updated 4 months ago
• lily-mara / refactoring-to-rust
  Code to accompany Refactoring to Rust
  ☆115Updated last year
• rust-ndarray / ndarray-stats
  Statistical routines for ndarray
  ☆215Updated last year
• relf / cobyla
  COBYLA optimizer for Rust
  ☆24Updated last week
• 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…
  ☆101Updated 3 months ago
• Mottl / lightgbm3-rs
  Rust bindings for LightGBM
  ☆36Updated 5 months ago
• askanium / rustplotlib
  A pure Rust visualization library inspired by D3.js
  ☆290Updated 2 years ago
• rust-ml / linfa-linalg
  ☆33Updated 5 months ago
• rmitsuboshi / miniboosts
  A collection of boosting algorithms written in Rust 🦀
  ☆58Updated 5 months ago
• nogibjj / candle-cookbook
  Cookbook to build Rust Candle models
  ☆81Updated last year
• LukeMathWalker / ndarray-koans
  Material for "ML Introduction to ndarray" workshop at RustFest 2019.
  ☆115Updated 4 years ago
• DarianHarrison / simple_mlp
  a simple MLP Network written in Rust with C++ torch bindings
  ☆10Updated 4 years ago
• outbrain-inc / fwumious_wabbit
  Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
  ☆138Updated last year
• kno10 / rust-kmedoids
  k-Medoids clustering in Rust with the FasterPAM algorithm
  ☆26Updated last month