Python bindings for sklears machine learning library using PyO3
A composable, deterministic text data pipeline for ML. Ingest, denoise, chunk, split, and sample multi-source corpora into reproducible training triplets.
Core types, traits, and algorithms for the triplets data pipeline framework.
Reusable debug/demo runners for the triplets data pipeline framework.
Hugging Face integration for the triplets data pipeline framework.
Create train, test and validation sets from text files
Functions required for data analysis and machine learning tasks
Datasets module for SciRS2 (scirs2-datasets)
Model selection utilities for the ferrolearn ML framework
An easy to learn and use ML toolkit for rust
Comprehensive neural network library with dataset loading, batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API
Time series analysis components for ToRSh - powered by SciRS2