#machine-learning

Production-ready data processing made easy and shareable

Gradient Boosting library with KAN (Kolmogorov-Arnold Network) learners

Smart Media enhancements for WordPress

The fundamental package for scientific matrix operation

Python 3 wrapper for Weka using JPype.

The Interface of The Rindow Matlib on FFI

Self-hosted Python strategy research and Alpaca paper trading with broker reconciliation, evidence gates, and live execution disabled.

ONNX Runtime bindings for Elixir

Use Rust to run language models on Apple's MLX framework

A robust streaming log template miner based on the Drain algorithm

optical attention via wave interference in holographic crystals verified to float precision. the math is done. contribute to build the hardware.star it, fork it, break it.

Scientific analysis of nanoscale materials imaging data

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

📟 Logging utilities for spaCy

Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Dataset and package for working with protein-protein interactions in 3D

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Agent Session Manager - A comprehensive Elixir library for managing AI agent sessions, state persistence, conversation context, and multi-agent orchestration workflows

Rindow OpenBLAS PHP Interface

BERT score for text generation

Cython implementation of PDB -> DataFrame parsing

Zero-allocation text classification in pure Go. Byte-level n-gram embeddings, OVA logistic regression, Platt scaling, conformal prediction. Sub-millisecond, GC-free.

NoPdb: Non-interactive Python Debugger

Tool to build image dataset: collect, classify, review