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MesaTEE GBDT-RS : a fast and secure GBDT library, supporting TEEs such as Intel SGX and ARM TrustZone MesaTEE GBDT-RS is a gradient boost decision tre

rust-xgboost Rust bindings for the XGBoost gradient boosting library. Documentation Basic usage example: extern crate xgboost; use xgboost::{paramete

lightgbm-rs LightGBM Rust binding Require You need an environment that can build LightGBM. # linux apt install -y cmake libclang-dev libc++-dev gcc-mu

Neuronika is a machine learning framework written in pure Rust, built with a focus on ease of use, fast prototyping and performance. Dynamic neural ne

l2 • 🤖 A Pytorch-style Tensor+Autograd library written in Rust Installation • Contributing • Authors • License • Acknowledgements Made by Bilal Khan

Corgi A neural network, and tensor dynamic automatic differentiation implementation for Rust. BLAS The BLAS feature can be enabled, and requires CBLAS

Rust frontend of primitiv Prerequisites Rust (1.26 or later) Clang (3.9 or later) (optional) CUDA (8.0 or later) Install mkdir work cd work # build p

fasttext-rs fastText Rust binding Installation Add it to your Cargo.toml: [dependencies] fasttext = "0.6" Add extern crate fasttext to your crate root

Word2Vec-rs Word2Vec-rs is a fast implemention of word2vec's skip-gram algorithm. A simple benchmark on a 200M english corpus: 4 threads: tool words p

sbr An implementation of sequence recommenders based on the wyrm autdifferentiaton library. sbr-rs sbr implements efficient recommender algorithms whi

Bayard Bayard is a full-text search and indexing server written in Rust built on top of Tantivy that implements Raft Consensus Algorithm and gRPC. Ach

txtai: AI-powered search engine for Rust txtai executes machine-learning workflows to transform data and build AI-powered text indices to perform simi

Toshi A Full-Text Search Engine in Rust Please note that this is far from production ready, also Toshi is still under active development, I'm just slo

tinysearch TinySearch is a lightweight, fast, full-text search engine. It is designed for static websites. TinySearch is written in Rust, and then com

Stork Impossibly fast web search, made for static sites. Stork is two things. First, it's an indexer: it indexes your loosely-structured content and c

elasticsearch   Official Rust Client for Elasticsearch. Full documentation is available at https://docs.rs/elasticsearch The project is still very muc

Faiss-rs This project provides Rust bindings to Faiss, the state-of-the-art vector search and clustering library. Installing as a dependency Currently

hnsw Hierarchical Navigable Small World Graph for fast ANN search Enable the serde feature to serialize and deserialize HNSW. Tips A good default for

granne* granne (graph-based retrieval of approximate nearest neighbors) is a Rust library for approximate nearest neighbor search based on Hierarchica

Vector Similarity Search Engine with extended filtering support Qdrant (read: quadrant ) is a vector similarity search engine. It provides a productio

VP-tree nearest neighbor search A relatively simple and readable Rust implementation of Vantage Point tree search algorithm. The VP tree algorithm doe

kdtree K-dimensional tree in Rust for fast geospatial indexing and nearest neighbors lookup Crate Documentation Usage Benchmark License Usage Add kdtr

lsh-rs (Locality Sensitive Hashing) Locality sensitive hashing can help retrieving Approximate Nearest Neighbors in sub-linear time. For more informat

REnforce Reinforcement library written in Rust This library is still in early stages, and the API has not yet been finalized. The documentation can be

Rurel Rurel is a flexible, reusable reinforcement learning (Q learning) implementation in Rust. Release documentation In Cargo.toml: rurel = "0.2.0"

gym-rs OpenAI gym binding for Rust. Actively maintained! If you have any problem just create an issue. Install Just install the requierements layed ou

In One Sentence You trained a SVM using libSVM, now you want the highest possible performance during (real-time) classification, like games or VR. Hig

craftml-rs A Rust implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (Siblini et al., 2018). Perf