Rust для машинного обучения - библиотека

ВВЕДЕНИЕ

Эта статья содержит список библиотек машинного обучения, написанных на Rust.
Представляет собой сборник репозитариев GitHub, блогов, книг, уроков, форумов, статей.
Статья разбита на несколько основных категорий библиотек и алгоритмов. В статье нет библиотек,
которые больше не поддерживаются, а так же почти нет небольших библиотек, которые давно не обновлялись.

ЛИНЕЙНАЯ АЛГЕБРА

• Большинство пакетов в списке используют ndarray или std::vec.

• dimforge/nalgebra - Библиотека линейной алгебры для Rust.
• rust-ndarray/ndarray - ndarray: работа с многомерными массивами на Rust
• AtheMathmo/rulinalg - Библиотека линейной алгебры написанная на Rust
• arrayfire/arrayfire-rust - Обертка Rust для ArrayFire
• bluss/arrayvec - работа с векторами. (Rust)
• vbarrielle/sprs - библиотека линейной алгебры для Rust
• liborty/rstats - Библиотека статистики Rust и векторной алгебры
• PyO3/rust-numpy - NumPy C-API для Rust на основе PyO3

ИНСТРУМЕНТЫ ПОДДЕРЖКИ

• Jupyter Notebook

• evcxr может обрабатывать как Jupyter Kernel или REPL.
  

Эти библиотеки нужны для обучения алгоритмов и проверки гипотез машинного обучения.

• google/evcxr - оценки моделей для Rust.
• emakryo/rustdef - Jupyter расширение для rust.
• murarth/rusti - REPL библиотека для Rust

РАБОТА С ВИЗУАЛИЗАЦИЕЙ

• Список полезных ресурсов для визуализации данных.

• 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
  
• v4procyon-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.
  
• Chord Diagrams - Pro version available
  

• 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
  

• Примеры:
  

---

• Plotters Developer's Guide
  
• Plotly.rs - Plotly.rs Book
  
• petgraph_review
  
• evcxr-jupyter-integration
  
• Rust for Data Science: Tutorial 1 - DEV Community
• Preface | Data Crayon
  

• Дата-фреймы:
  

---

• ritchie46/polars - Rust датафреймы 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
  

ОБРАБОТКА ИЗОБРАЖЕНИЙ

• Для обработка изображений вам стоит попробовать библиотеку image-rs.
  

Здесь приведены такие алгоритмы, как линейные преобразования, подобное есть и в других библиотеках.

• image-rs/image - Encoding and decoding images in Rust
  
• Image processing operations
  
• Allows conversion between ndarray's types and image's types
  
• 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.
  
• Rust bindings for OpenCV 3 & 4
  
• A linear algebra and mathematics library for computer graphics.
  
• Face detection library for the Rust programming language
  

ОБРАБОТКА ЕСТЕСТВЕННОГО ЯЗЫКА ИЛИ ПРЕДВАРИТЕЛЬНАЯ ОБРАБОТКА

• Этот репозиторий содержит обработки естественного языка (google)
  
• 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
  

ГРАФЫ

• 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
  

AutoML

• tangramxyz/tangram - Tangram is an all-in-one automated machine learning framework.
  
• datafuselabs/datafuse - A Modern Real-Time Data Processing & Analytics DBMS with Cloud-Native Architecture (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
  
• 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
  

РАБОЧИЕ ПОТОКИ

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

ВЫЧИСЛЕНИЯ НА GPU С ПОМОЩЬЮ RUST

• 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
  
• 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
  

SKLEARN И ПОДОБНЫЕ БИБЛИОТЕКИ

• Библиотеки поддерживают следующие алгоритмы:

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

• 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
  

• rust-ml/linfa - A Rust machine learning framework.Gaussian Mixture Model Clustering, Agglomerative Hierarchical Clustering, ICA
  
• maciejkula/rustlearn - Machine learning crate for Rustfactorization machines, k-fold cross-validation, ndcg
  

• AtheMathmo/rusty-machine - Machine Learning library for RustConfusion Matrix, Cross Varidation, Accuracy, F1 Score, MSE
  

• benjarison/eval-metrics - Evaluation metrics for machine learningMany 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/
  

СТАТИСТИКА

• 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 syntaxLinear Algebra, Functional Programming, Automatic Differentiation, Numerical Analysis, Statistics, Special functions, Plotting, Dataframe
  
• tarcieri/micromath - Embedded Rust arithmetic, 2D/3D vector, and statistics library
  

ГРАДИЕНТНЫЙ БУСТИНГ(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
  

НЕЙРОННЫЕ СЕТИ

• Tensorflow и PyTorch являются наиболее распространенными библиотеками для построения нейронных сетей.

• 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
  
• 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
  

ГРАФОВЫЕ МОДЕЛИ

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

НЕЙРОЛИНГВИСТИЧЕСКОЕ ПРОГРАММИРОВАНИЕ

• 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
  
• 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.
  

РЕКОМЕНДАТЕЛЬНЫЕ СИСТЕМЫ

• 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
  

РАБОТА С ТЕКСТОМ

• Quickwit is a big data search engine.
  
• bayard-search/bayard 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 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 Lightweight full-text search library that provides full control over the scoring calculations
  
• 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
  

АЛГОРИТМЫ ПОИСКА БЛИЖАЙШИХ СОСЕДЕЙ

• 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
  

ОБУЧЕНИЕ С ПОДКРЕПЛЕНИЕМ

• 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 Fast, safe and easy to use reinforcement learning framework in Rust.
  
• milanboers/rurel Flexible, reusable reinforcement learning (Q learning) implementation in Rust
  
• Bandit Algorithms in Rust
  
• MrRobb/gym-rs - OpenAI Gym bindings for Rust
  

ОБУЧЕНИЕ С УЧИТЕЛЕМ

• 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.
  

ОБУЧЕНИЕ БЕЗ УЧИТЕЛЯ

• 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.
  

СТАТИСТИЧЕСКИЕ МОДЕЛИ

• 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
  

ЭВОЛЮЦИОННЫЕ АЛГОРИТМЫ

• 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
  

ДРУГИЕ ПРОЕКТЫ

• 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
  

БЛОГИ

• 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
  
• 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
  

ОБУЧЕНИЕ

• Rust Machine Learning Book, Examples of KMeans and DBSCAN with linfa-clustering
  
• Artificial Intelligence and Machine Learning – Practical Rust Projects(Building Game, Physical Computing) – 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 (c) Vlad Orlov
  
• Machine Learning in Rust, Logistic Regression, Medium, The Startup, 2021/1/6 (c) Vlad Orlov
  
• Machine Learning in Rust, Linear Regression, Medium, The Startup, 2020/12/16 (c) 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 (c) 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
  

ПРИКЛАДНЫЕ РЕСУРСЫ

• 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,Examples of Text Sentence Vector, Cosine Distance and PageRank (c)Charles Chan
  
• 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
  
• Production users - Rust Programming Language, by rust-lang.org
  
• Taking ML to production with Rust: a 25x speedup, A LEARNING JOURNAL, 2019/12/1 (c) @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
  

ФОРУМЫ

• 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
  

КНИГИ

• Practical Machine Learning with Rust: Creating Intelligent Applications in Rust (English Edition)
  

-- 2019/12/10, Joydeep BhattacharjeeWrite 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 for this Book
  

--

• DATA ANALYSIS WITH RUST NOTEBOOKS
  

-- 2021/9/3, Shahin RostamiPlotting with Plotters and Plotly
- Operations with ndarray
- Descriptive Statistics
- Interactive Diagram
- Visualisation of Co-occurring Types
- download source code and dataset

• Full text book
  

ВИДЕО УРОКИ

• 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
  

Подкасты

DATA SCIENCE AT HOMERust and machine learning #1 (Ep. 107) Rust and machine learning #2 with Luca Palmieri (Ep. 108) Rust and machine learning #3 with Alec Mocatta (Ep. 109) Rust and machine learning #4: practical tools (Ep. 110) Machine Learning in Rust: Amadeus with Alec Mocatta (Ep. 127) Rust and deep learning with Daniel McKenna (Ep. 135) Is Rust flexible enough for a flexible data model? (Ep. 137) Pandas vs Rust (Ep. 144) Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145) Polars: the fastest dataframe crate in Rust (Ep. 146) Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

ИСТОЧНИКИ

• Огромный респект Автору