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scirs2-datasets
Datasets module for SciRS2 (scirs2-datasets)
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scirs2-metrics
Machine Learning evaluation metrics module for SciRS2 (scirs2-metrics)
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rustyml
A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
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smelt-ml
Machine learning framework with spatial modeling, conformal prediction, and gradient boosting competitive with C++
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frenchrs
A high-performance Rust library for asset pricing and financial analysis, built on the robust econometric infrastructure of Greeners
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ferrolearn-model-sel
Model selection utilities for the ferrolearn ML framework
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flair-rs
Rust port of FLAIR (Factored Level And Interleaved Ridge) — lightweight time series forecasting, no_std/wasm32 compatible
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torsh-series
Time series analysis components for ToRSh - powered by SciRS2
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mlcheck
check files for ML best practices
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statoxide
High-performance statistical computing library written in Rust, exposed to Python via PyO3
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scivex
A comprehensive Rust library replacing the Python data science ecosystem
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hematite-cli
Senior SysAdmin, Network Admin, Data Analyst, and Software Engineer living in your terminal. A high-precision local AI agent harness for LM Studio, Ollama, and other local OpenAI-compatible…
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triplets
A composable, deterministic text data pipeline for ML. Ingest, denoise, chunk, split, and sample multi-source corpora into reproducible training triplets.
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sklears-python
Python bindings for sklears machine learning library using PyO3
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lumen-dataset
A tiny ML framework
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tsai_models
Model zoo for tsai-rs: CNN, Transformer, ROCKET, RNN, and Tabular architectures
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data_table
A lightweight Rust data table structure supporting numeric columns and categorical factors
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oxibonsai-eval
Model evaluation harness for OxiBonsai — perplexity, MMLU, benchmarks
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scivex-ml
Scivex — Classical machine learning: trees, ensembles, clustering, pipelines
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triplets-hf-source
Hugging Face integration for the triplets data pipeline framework
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sklears-model-selection
Model selection utilities for sklears: cross-validation, grid search, train-test split
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simple_ml
Functions required for data analysis and machine learning tasks
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rusty_science
An easy to learn and use ML toolkit for rust
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triplets-debug
Reusable debug/demo runners for the triplets data pipeline framework
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rs-ml
ML crate including Gaussian Naive Bayesian classifier
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triplets-core
Core types, traits, and algorithms for the triplets data pipeline framework
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rand_split
Functions to split a slice into random parts
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