This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers. This repository is targeted at people who are thinking of migrating from Python. 🦀🐍

It is divided into several basic library and algorithm categories. And it also contains libraries that are no longer maintained and small libraries. It has commented on the helpful parts of the code. It also commented on good libraries within each category.

We can find a better way to use Rust for Machine Learning.

Website (en)
GitHub (en)
GitHub (ja)

Support Tools
Comprehensive (like sklearn)
Comprehensive (statistics)
Gradient Boosting
Deep Neural Network
Graph Model
Natural Language Processing (model)
Recommendation
Information Retrieval
- Full Text Search
- Nearest Neighbor Search
Reinforcement Learning
Supervised Learning
Unsupervised Learning & Clustering Model
Statistical Model
Evolutionary Algorithm
Reference
- Nearby Projects
- Blogs
- Discussion
- Books
- Movie
- PodCast
- Paper
Thanks

Support Tools

Jupyter Notebook

evcxr can be handled as Jupyter Kernel or REPL. It is helpful for learning and validation.

google/evcxr - An evaluation context for Rust.
emakryo/rustdef - Jupyter extension for rust.
murarth/rusti - REPL for the Rust programming language

Graph Plot

It might want to try plotters for now.

38/plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
igiagkiozis/plotly - Plotly for Rust
milliams/plotlib - Data plotting library for Rust
tiby312/poloto - A simple 2D plotting library that outputs graphs to SVG that can be styled using CSS.
askanium/rustplotlib - A pure Rust visualization library inspired by D3.js
SiegeLord/RustGnuplot - A Rust library for drawing plots, powered by Gnuplot.
saona-raimundo/preexplorer - Externalize easily the plotting process from Rust to gnuplot.
procyon-rs/vega_lite_4.rs - rust api for vega-lite v4
- procyon-rs/showata - A library of to show data (in browser, evcxr_jupyter) as table, chart...
coder543/dataplotlib - Scientific plotting library for Rust
shahinrostami/chord_rs - Rust crate for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

ASCII line graph:

loony-bean/textplots-rs Terminal plotting library for Rust
orhanbalci/rasciigraph Zero dependency Rust crate to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
jakobhellermann/piechart a rust crate for drawing fancy pie charts in the terminal
milliams/plot Command-line plotting tool written in Rust

Examples:

Plotters Developer's Guide - Plotter Developer's Guide https://plotters-rs.github.io/book/intro/introduction.html
Plotly.rs - Plotly.rs Book https://igiagkiozis.github.io/plotly/content/plotly_rs.html
petgraph_review https://timothy.hobbs.cz/rust-play/petgraph_review.html
evcxr-jupyter-integration https://plotters-rs.github.io/plotters-doc-data/evcxr-jupyter-integration.html
Rust for Data Science: Tutorial 1 - DEV Community https://dev.to/davidedelpapa/rust-for-data-science-tutorial-1-4g5j
Preface | Data Crayon https://datacrayon.com/posts/programming/rust-notebooks/preface/
Drawing SVG Graphs with Rust [https://cetra3.github.io/blog/drawing-svg-graphs-rust/](Drawing SVG Graphs with Rust https://cetra3.github.io/blog/drawing-svg-graphs-rust/)

Vector

Most things use ndarray or std::vec.

Also, look at nalgebra. When the size of the matrix is known, it is valid. See also: ndarray vs nalgebra - reddit

dimforge/nalgebra - Linear algebra library for Rust.
rust-ndarray/ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
AtheMathmo/rulinalg - A linear algebra library written in Rust
arrayfire/arrayfire-rust - Rust wrapper for ArrayFire
bluss/arrayvec - A vector with a fixed capacity. (Rust)
vbarrielle/sprs - sparse linear algebra library for rust
liborty/rstats - Rust Statistics and Vector Algebra Library
PyO3/rust-numpy - PyO3-based Rust binding of NumPy C-API

Dataframe

It might want to try polars for now. datafusion looks good too.

ritchie46/polars - Rust DataFrame library
apache/arrow - In-memory columnar format, in Rust.
apache/arrow-datafusion - Apache Arrow DataFusion and Ballista query engines
milesgranger/black-jack - DataFrame / Series data processing in Rust
nevi-me/rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
kernelmachine/utah - Dataframe structure and operations in Rust
sinhrks/brassfibre - Provides multiple-dtype columner storage, known as DataFrame in pandas/R

Image Processing

It might want to try image-rs for now. Algorithms such as linear transformations are implemented in other libraries as well.

image-rs/image - Encoding and decoding images in Rust
- image-rs/imageproc - Image processing operations
rust-cv/ndarray-image - Allows conversion between ndarray's types and image's types
rust-cv/cv - Rust CV mono-repo. Contains pure-Rust dependencies which attempt to encapsulate the capability of OpenCV, OpenMVG, and vSLAM frameworks in a cohesive set of APIs.
twistedfall/opencv-rust - Rust bindings for OpenCV 3 & 4
rustgd/cgmath - A linear algebra and mathematics library for computer graphics.
atomashpolskiy/rustface - Face detection library for the Rust programming language

Natural Language Processing (preprocessing)

google-research/deduplicate-text-datasets - This repository contains code to deduplicate language model datasets as descrbed in the paper "Deduplicating Training Data Makes Language Models Better" by Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch and Nicholas Carlini. This repository contains both the ExactSubstr deduplication implementation (written in Rust) along with the scripts we used in the paper to perform deduplication and inspect the results (written in Python). In an upcoming update, we will add files to reproduce the NearDup-deduplicated versions of the C4, RealNews, LM1B, and Wiki-40B-en datasets.
pemistahl/lingua-rs - 👄 The most accurate natural language detection library in the Rust ecosystem, suitable for long and short text alike
usamec/cntk-rs - Wrapper around Microsoft CNTK library
stickeritis/sticker - A LSTM/Transformer/dilated convolution sequence labeler
tensordot/syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
christophertrml/rs-natural - Natural Language Processing for Rust
bminixhofer/nnsplit - Semantic text segmentation. For sentence boundary detection, compound splitting and more.
greyblake/whatlang-rs - Natural language detection library for Rust.
finalfusion/finalfrontier - Context-sensitive word embeddings with subwords. In Rust.
bminixhofer/nlprule - A fast, low-resource Natural Language Processing and Error Correction library written in Rust.
rth/vtext - Simple NLP in Rust with Python bindings
tamuhey/tokenizations - Robust and Fast tokenizations alignment library for Rust and Python
vgel/treebender - A HDPSG-inspired symbolic natural language parser written in Rust
reinfer/blingfire-rs - Rust wrapper for the BlingFire tokenization library
CurrySoftware/rust-stemmers - Common stop words in a variety of languages
cmccomb/rust-stop-words - Common stop words in a variety of languages
Freyskeyd/nlp - Rust-nlp is a library to use Natural Language Processing algorithm with RUST
Daniel-Liu-c0deb0t/uwu - fastest text uwuifier in the west

Graphical Modeling

alibaba/GraphScope - GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
petgraph/petgraph - Graph data structure library for Rust.
rs-graph/rs-graph - rs-graph is a library for graph algorithms and combinatorial optimization
metamolecular/gamma - A graph library for Rust.
purpleprotocol/graphlib - Simple but powerful graph library for Rust
yamafaktory/hypergraph - Hypergraph is a data structure library to generate directed hypergraphs

Interface & Pipeline & AutoML

modelfoxdotdev/modelfox - Modelfox is an all-in-one automated machine learning framework. https://github.com/modelfoxdotdev/modelfox
datafuselabs/datafuse - A Modern Real-Time Data Processing & Analytics DBMS with Cloud-Native Architecture, written in Rust
mstallmo/tensorrt-rs - Rust library for running TensorRT accelerated deep learning models
pipehappy1/tensorboard-rs - Write TensorBoard events in Rust.
ehsanmok/tvm-rust - Rust bindings for TVM runtime
vertexclique/orkhon - Orkhon: ML Inference Framework and Server Runtime
xaynetwork/xaynet - Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications
webonnx/wonnx - A GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web
sonos/tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
MegEngine/MegFlow - Efficient ML solutions for long-tailed demands.

Workflow

substantic/rain - Framework for large distributed pipelines
timberio/vector - A high-performance, highly reliable, observability data pipeline

GPU

Rust-GPU/Rust-CUDA - Ecosystem of libraries and tools for writing and executing extremely fast GPU code fully in Rust.
EmbarkStudios/rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU code 🚧
termoshtt/accel - GPGPU Framework for Rust
kmcallister/glassful - Rust-like syntax for OpenGL Shading Language
MaikKlein/rlsl - Rust to SPIR-V compiler
japaric-archived/nvptx - How to: Run Rust code on your NVIDIA GPU
msiglreith/inspirv-rust - Rust (MIR) → SPIR-V (Shader) compiler

Comprehensive (like sklearn)

All libraries support the following algorithms.

Linear Regression
Logistic Regression
K-Means Clustering
Neural Networks
Gaussian Process Regression
Support Vector Machines
kGaussian Mixture Models
Naive Bayes Classifiers
DBSCAN
k-Nearest Neighbor Classifiers
Principal Component Analysis
Decision Tree
Support Vector Machines
Naive Bayes
Elastic Net

It might want to try smartcore or linfa for now.

smartcorelib/smartcore - SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
- LASSO, Ridge, Random Forest, LU, QR, SVD, EVD, and more metrics
- https://smartcorelib.org/user_guide/quick_start.html
rust-ml/linfa - A Rust machine learning framework.
- Gaussian Mixture Model Clustering, Agglomerative Hierarchical Clustering, ICA
- https://github.com/rust-ml/linfa#current-state
maciejkula/rustlearn - Machine learning crate for Rust
- factorization machines, k-fold cross-validation, ndcg
- https://github.com/maciejkula/rustlearn#features
AtheMathmo/rusty-machine - Machine Learning library for Rust
- Confusion Matrix, Cross Varidation, Accuracy, F1 Score, MSE
- https://github.com/AtheMathmo/rusty-machine#machine-learning
benjarison/eval-metrics - Evaluation metrics for machine learning
- Many evaluation functions
blue-yonder/vikos - A machine learning library for supervised training of parametrized models
mbillingr/openml-rust - A rust interface to http://openml.org/

Comprehensive (Statistics)

statrs-dev/statrs - Statistical computation library for Rust
rust-ndarray/ndarray-stats - Statistical routines for ndarray
Axect/Peroxide - Rust numeric library with R, MATLAB & Python syntax
- Linear Algebra, Functional Programming, Automatic Differentiation, Numerical Analysis, Statistics, Special functions, Plotting, Dataframe
tarcieri/micromath - Embedded Rust arithmetic, 2D/3D vector, and statistics library

Gradient Boosting

mesalock-linux/gbdt-rs - MesaTEE GBDT-RS : a fast and secure GBDT library, supporting TEEs such as Intel SGX and ARM TrustZone
davechallis/rust-xgboost - Rust bindings for XGBoost.
vaaaaanquish/lightgbm-rs - LightGBM Rust binding
catboost/catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks (predict only)
Entscheider/stamm - Generic decision trees for rust

Deep Neural Network

Tensorflow bindings and PyTorch bindings are the most common. tch-rs also has torch vision, which is useful.

tensorflow/rust - Rust language bindings for TensorFlow
LaurentMazare/tch-rs - Rust bindings for the C++ api of PyTorch.
VasanthakumarV/einops - Simplistic API for deep learning tensor operations
spearow/juice - The Hacker's Machine Learning Engine
neuronika/neuronika - Tensors and dynamic neural networks in pure Rust.
bilal2vec/L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
raskr/rust-autograd - Tensors and differentiable operations (like TensorFlow) in Rust
charles-r-earp/autograph - Machine Learning Library for Rust
patricksongzy/corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.
JonathanWoollett-Light/cogent - Simple neural network library for classification written in Rust.
oliverfunk/darknet-rs - Rust bindings for darknet
jakelee8/mxnet-rs - mxnet for Rust
jramapuram/hal - Rust based Cross-GPU Machine Learning
primitiv/primitiv-rust - Rust binding of primitiv
chantera/dynet-rs - The Rust Language Bindings for DyNet
millardjn/alumina - A deep learning library for rust
jramapuram/hal - Rust based Cross-GPU Machine Learning
afck/fann-rs - Rust wrapper for the Fast Artificial Neural Network library
autumnai/leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
c0dearm/mushin - Compile-time creation of neural networks
tedsta/deeplearn-rs - Neural networks in Rust
sakex/neat-gru-rust - neat-gru
nerosnm/n2 - (Work-in-progress) library implementation of a feedforward, backpropagation artificial neural network
Wuelle/deep_thought - Neural Networks in Rust
MikhailKravets/NeuroFlow - Awesome deep learning crate
dvigneshwer/deeprust - Machine learning crate in Rust
millardjn/rusty_sr - Deep learning superresolution in pure rust
coreylowman/dfdx - Strongly typed Deep Learning in Rust

Graph Model

Synerise/cleora - Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Pardoxa/net_ensembles - Rust library for random graph ensembles

Natural Language Processing (model)

huggingface/tokenizers - The core of tokenizers, written in Rust. Provides an implementation of today's most used tokenizers, with a focus on performance and versatility.
guillaume-be/rust-tokenizers - Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models
guillaume-be/rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
sno2/bertml - Use common pre-trained ML models in Deno!
cpcdoy/rust-sbert - Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)
vongaisberg/gpt3_macro - Rust macro that uses GPT3 codex to generate code at compiletime
proycon/deepfrog - An NLP-suite powered by deep learning
ferristseng/rust-tfidf - Library to calculate TF-IDF
messense/fasttext-rs - fastText Rust binding
mklf/word2vec-rs - pure rust implementation of word2vec
DimaKudosh/word2vec - Rust interface to word2vec.
lloydmeta/sloword2vec-rs - A naive (read: slow) implementation of Word2Vec. Uses BLAS behind the scenes for speed.

Recommendation

PersiaML/PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.
jackgerrits/vowpalwabbit-rs - 🦀🐇 Rusty VowpalWabbit
outbrain/fwumious_wabbit - Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
hja22/rucommender - Rust implementation of user-based collaborative filtering
maciejkula/sbr-rs - Deep recommender systems for Rust
chrisvittal/quackin - A recommender systems framework for Rust
snd/onmf - fast rust implementation of online nonnegative matrix factorization as laid out in the paper "detect and track latent factors with online nonnegative matrix factorization"
rhysnewell/nymph - Non-Negative Matrix Factorization in Rust

Information Retrieval

Full Text Search

quickwit-inc/quickwit - Quickwit is a big data search engine.
bayard-search/bayard - A full-text search and indexing server written in Rust.
neuml/txtai.rs - AI-powered search engine for Rust
meilisearch/MeiliSearch - Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine
toshi-search/Toshi - A full-text search engine in rust
BurntSushi/fst - Represent large sets and maps compactly with finite state transducers.
tantivy-search/tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
tinysearch/tinysearch - 🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
quantleaf/probly-search - A lightweight full-text search library that provides full control over the scoring calculations
https://github.com/andylokandy/simsearch-rs - A simple and lightweight fuzzy search engine that works in memory, searching for similar strings
jameslittle230/stork - 🔎 Impossibly fast web search, made for static sites.
elastic/elasticsearch-rs - Official Elasticsearch Rust Client

Nearest Neighbor Search

Enet4/faiss-rs - Rust language bindings for Faiss
rust-cv/hnsw - HNSW ANN from the paper "Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs"
hora-search/hora - 🚀 efficient approximate nearest neighbor search algorithm collections library, which implemented with Rust 🦀. horasearch.com
InstantDomain/instant-distance - Fast approximate nearest neighbor searching in Rust, based on HNSW index
lerouxrgd/ngt-rs - Rust wrappers for NGT approximate nearest neighbor search
granne/granne - Graph-based Approximate Nearest Neighbor Search
u1roh/kd-tree - k-dimensional tree in Rust. Fast, simple, and easy to use.
qdrant/qdrant - Qdrant - vector similarity search engine with extended filtering support
rust-cv/hwt - Hamming Weight Tree from the paper "Online Nearest Neighbor Search in Hamming Space"
fulara/kdtree-rust - kdtree implementation for rust.
mrhooray/kdtree-rs - K-dimensional tree in Rust for fast geospatial indexing and lookup
kornelski/vpsearch - C library for finding nearest (most similar) element in a set
petabi/petal-neighbors - Nearest neighbor search algorithms including a ball tree and a vantage point tree.
ritchie46/lsh-rs - Locality Sensitive Hashing in Rust with Python bindings
kampersanda/mih-rs - Rust implementation of multi-index hashing for neighbor searches on 64-bit codes in the Hamming space

Reinforcement Learning

taku-y/border - Border is a reinforcement learning library in Rust.
NivenT/REnforce - Reinforcement learning library written in Rust
edlanglois/relearn - Reinforcement learning with Rust
tspooner/rsrl - A fast, safe and easy to use reinforcement learning framework in Rust.
milanboers/rurel - Flexible, reusable reinforcement learning (Q learning) implementation in Rust
Ragnaroek/bandit - Bandit Algorithms in Rust
MrRobb/gym-rs - OpenAI Gym bindings for Rust

Supervised Learning Model

tomtung/omikuji - An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
shadeMe/liblinear-rs - Rust language bindings for the LIBLINEAR C/C++ library.
messense/crfsuite-rs - Rust binding to crfsuite
ralfbiedert/ffsvm-rust - FFSVM stands for "Really Fast Support Vector Machine"
zenoxygen/bayespam - A simple bayesian spam classifier written in Rust.
Rui_Vieira/naive-bayesnaive-bayes - A Naive Bayes classifier written in Rust.
Rui_Vieira/random-forests - A Rust library for Random Forests.
sile/randomforest - A random forest implementation in Rust
tomtung/craftml-rs - A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
nkaush/naive-bayes-rs - A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.

Unsupervised Learning & Clustering Model

frjnn/bhtsne - Barnes-Hut t-SNE implementation written in Rust.
vaaaaanquish/label-propagation-rs - Label Propagation Algorithm by Rust. Label propagation (LP) is graph-based semi-supervised learning (SSL). LGC and CAMLP have been implemented.
nmandery/extended-isolation-forest - Rust port of the extended isolation forest algorithm for anomaly detection
avinashshenoy97/RusticSOM - Rust library for Self Organising Maps (SOM).
diffeo/kodama - Fast hierarchical agglomerative clustering in Rust.
kno10/rust-kmedoids - k-Medoids clustering in Rust with the FasterPAM algorithm
petabi/petal-clustering - DBSCAN and OPTICS clustering algorithms.
savish/dbscan - A naive DBSCAN implementation in Rust
gu18168/DBSCANSD - Rust implementation for DBSCANSD, a trajectory clustering algorithm.
lazear/dbscan - Dependency free implementation of DBSCAN clustering in Rust
whizsid/kddbscan-rs - A rust library inspired by kDDBSCAN clustering algorithm
Sauro98/appr_dbscan_rust - Program implementing the approximate version of DBSCAN introduced by Gan and Tao
quietlychris/density_clusters - A naive density-based clustering algorithm written in Rust
milesgranger/gap_statistic - Dynamically get the suggested clusters in the data for unsupervised learning.
genbattle/rkm - Generic k-means implementation written in Rust
selforgmap/som-rust - Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.

Statistical Model

Redpoll/changepoint - Includes the following change point detection algorithms: Bocpd -- Online Bayesian Change Point Detection Reference. BocpdTruncated -- Same as Bocpd but truncated the run-length distribution when those lengths are unlikely.
krfricke/arima - ARIMA modelling for Rust
Daingun/automatica - Automatic Control Systems Library
rbagd/rust-linearkalman - Kalman filtering and smoothing in Rust
sanity/pair_adjacent_violators - An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust

Evolutionary Algorithm

martinus/differential-evolution-rs - Generic Differential Evolution for Rust
innoave/genevo - Execute genetic algorithm (GA) simulations in a customizable and extensible way.
Jeffail/spiril - Rust library for genetic algorithms
sotrh/rust-genetic-algorithm - Example of a genetic algorithm in Rust and Python
willi-kappler/darwin-rs - darwin-rs, evolutionary algorithms with rust

Reference

Nearby Projects

Are we learning yet?, A work-in-progress to catalog the state of machine learning in Rust
e-tony/best-of-ml-rust, A ranked list of awesome machine learning Rust libraries
The Best 51 Rust Machine learning Libraries, RustRepo
rust-unofficial/awesome-rust, A curated list of Rust code and resources
Top 16 Rust Machine learning Projects, Open-source Rust projects categorized as Machine learning
39+ Best Rust Machine learning frameworks, libraries, software and resourcese, ReposHub

Blogs

Introduction

About Rust’s Machine Learning Community, Medium, 2016/1/6, Autumn Engineering
Rust vs Python: Technology And Business Comparison, 2021/3/4, Miłosz Kaczorowski
I wrote one of the fastest DataFrame libraries, 2021/2/28, Ritchie Vink
Polars: The fastest DataFrame library you've never heard of 2021/1/19, Analytics Vidhya
Data Manipulation: Polars vs Rust, 2021/3/13, Xavier Tao
State of Machine Learning in Rust – Ehsan's Blog, 2019/5/13, Published by Ehsan
Ritchie Vink, Machine Learning Engineer, writes Polars, one of the fastest DataFrame libraries in Python and Rust, Xomnia, 2021/5/11
Quickwit: A highly cost-efficient search engine in Rust, 2021/7/13, quickwit, PAUL MASUREL
Data Manipulation: Polars vs Rust, 2021/3/13, Xavier Tao
Check out Rust in Production, 2021/8/10, Qovery, @serokell
Why I started Rust instead of stick to Python, 2021/9/26, Medium, Geek Culture, Marshal SHI

Tutorial

Rust Machine Learning Book, Examples of KMeans and DBSCAN with linfa-clustering
Artificial Intelligence and Machine Learning – Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications – Dev Guis , 2021/5/19
Machine learning in Rust using Linfa, LogRocket Blog, 2021/4/30, Timeular, Mario Zupan, Examples of LogisticRegression
Machine Learning in Rust, Smartcore, Medium, The Startup, 2021/1/15, Vlad Orlov, Examples of LinerRegression, Random Forest Regressor, and K-Fold
Machine Learning in Rust, Logistic Regression, Medium, The Startup, 2021/1/6, Vlad Orlov
Machine Learning in Rust, Linear Regression, Medium, The Startup, 2020/12/16, Vlad Orlov
Machine Learning in Rust, 2016/3/7, James, Examples of LogisticRegressor
Machine Learning and Rust (Part 1): Getting Started!, Level Up Coding, 2021/1/9, Stefano Bosisio
Machine Learning and Rust (Part 2): Linear Regression, Level Up Coding, 2021/6/15, Stefano Bosisio
Machine Learning and Rust (Part 3): Smartcore, Dataframe, and Linear Regression, Level Up Coding, 2021/7/1, Stefano Bosisio
Tensorflow Rust Practical Part 1, Programmer Sought, 2018
A Machine Learning introduction to ndarray, RustFest 2019, 2019/11/12, Luca Palmieri
Simple Linear Regression from scratch in Rust, Web Development, Software Architecture, Algorithms and more, 2018/12/13, philipp
Interactive Rust in a REPL and Jupyter Notebook with EVCXR, Depth-First, 2020/9/21, Richard L. Apodaca
Rust for Data Science: Tutorial 1, dev, 2021/8/25, Davide Del Papa
petgraph_review, 2019/10/11, Timothy Hobbs
Rust for ML. Rust, Medium, Tempus Ex, 2021/8/1, Michael Naquin
Adventures in Drone Photogrammetry Using Rust and Machine Learning (Image Segmentation with linfa and DBSCAN), 2021/11/14, CHRISTOPHER MORAN

Apply

Deep Learning in Rust: baby steps, Medium, 2016/2/2, Theodore DeRego
A Rust SentencePiece implementation, Rust NLP tales, 2020/5/30
Accelerating text generation with Rust, Rust NLP tales, 2020/11/21
A Simple Text Summarizer written in Rust, Towards Data Science, 2020/11/24, Charles Chan, Examples of Text Sentence Vector, Cosine Distance and PageRank
Extracting deep learning image embeddings in Rust, RecoAI, 2021/6/1, Paweł Jankiewic, Examples of ONNX
Deep Learning in Rust with GPU, 2021/7/30, Xavier Tao
tch-rs pretrain example - Docker for PyTorch rust bindings tch-rs. Example of pretrain model, 2021/8/15, vaaaaanquish
Rust ANN search Example - Image search example by approximate nearest-neighbor library In Rust, 2021/8/15, vaaaaanquish
dzamkov/deep-learning-test - Implementing deep learning in Rust using just a linear algebra library (nalgebra), 2021/8/30, dzamkov
vaaaaanquish/rust-machine-learning-api-example - The axum example that uses resnet224 to infer images received in base64 and returns the results., 2021/9/7, vaaaaanquish
Rust for Machine Learning: Benchmarking Performance in One-shot - A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results, UofT Machine Intelligence Student Team
Why Wallaroo Moved From Pony To Rust, 2021/8/19, Wallaroo.ai
epwalsh/rust-dl-webserver - Example of serving deep learning models in Rust with batched prediction, 2021/11/16, epwalsh

Case study

Production users - Rust Programming Language, by rust-lang.org
Taking ML to production with Rust: a 25x speedup, A LEARNING JOURNAL, 2019/12/1, @algo_luca
9 Companies That Use Rust in Production, serokell, 2020/11/18, Gints Dreimanis
Masked Language Model on Wasm, BERT on flontend examples, optim-corp/masked-lm-wasm, 2021/8/27, Optim
Serving TensorFlow with Actix-Web, kykosic/actix-tensorflow-example
Serving PyTorch with Actix-Web, kykosic/actix-pytorch-example

Discussion

Natural Language Processing in Rust : rust, 2016/12/6
Future prospect of Machine Learning in Rust Programming Language : MachineLearning, 2017/11/11
Interest for NLP in Rust? - The Rust Programming Language Forum, 2018/1/19
Is Rust good for deep learning and artificial intelligence? - The Rust Programming Language Forum, 2018/11/18
ndarray vs nalgebra : rust, 2019/5/28
Taking ML to production with Rust | Hacker News, 2019/12/2
Who is using Rust for Machine learning in production/research? : rust, 2020/4/5
Deep Learning in Rust, 2020/8/26
SmartCore, fast and comprehensive machine learning library for Rust! : rust, 2020/9/29
Deep Learning in Rust with GPU on ONNX, 2021/7/31
Rust vs. C++ the main differences between these popular programming languages, 2021/8/25
I wanted to share my experience of Rust as a deep learning researcher, 2021/9/2
How far along is the ML ecosystem with Rust?, 2021/9/15

Books

Practical Machine Learning with Rust: Creating Intelligent Applications in Rust (English Edition), 2019/12/10, Joydeep Bhattacharjee
- Write machine learning algorithms in Rust
- Use Rust libraries for different tasks in machine learning
- Create concise Rust packages for your machine learning applications
- Implement NLP and computer vision in Rust
- Deploy your code in the cloud and on bare metal servers
- source code: Apress/practical-machine-learning-w-rust
DATA ANALYSIS WITH RUST NOTEBOOKS, 2021/9/3, Shahin Rostami
- Plotting with Plotters and Plotly
- Operations with ndarray
- Descriptive Statistics
- Interactive Diagram
- Visualisation of Co-occurring Types
- download source code and dataset
- full text
  - https://datacrayon.com/posts/programming/rust-notebooks/preface/

Movie

The /r/playrust Classifier: Real World Rust Data Science, RustConf 2016, 2016/10/05, Suchin Gururangan & Colin O'Brien
Building AI Units in Rust, FOSSASIA 2018, 2018/3/25, Vigneshwer Dhinakaran
Python vs Rust for Simulation, EuroPython 2019, 2019/7/10, Alisa Dammer
Machine Learning is changing - is Rust the right tool for the job?, RustLab 2019, 2019/10/31, Luca Palmieri
Using TensorFlow in Embedded Rust, 2020/09/29, Ferrous Systems GmbH, Richard Meadows
Writing the Fastest GBDT Library in Rust, 2021/09/16, RustConf 2021, Isabella Tromba

PodCast

DATA SCIENCE AT HOME

Paper

End-to-end NLP Pipelines in Rust, Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 20–25 Virtual Conference, 2020/11/19, Guillaume Becquin

How to contribute

Please just update the README.md.

If you update this README.md, CI will be executed automatically. And the website will also be updated.

Thanks

Thanks for all the projects.

https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning

Files

README.md

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