#machine-learning

Utility package for accessing common Machine Learning datasets in Julia

:rocket: Metadata tracking and UI service for Metaflow!

(ETL) Extract, transform, load/download and augment images and annotations for detection, clustering or classification workflows

Regression analysis in Rust.

Next-gen AI-native tensor-network-based quantum software framework

Turn your company's scattered knowledge into AI ready Books ✨

高性能OCR识别库，支持上百种语言，提供命令行、图形界面及C API多种调用方式，使用便捷高效。 High-performance OCR library powered by PaddleOCR v4/v5/v6 with MNN backend. Supports 10+ languages (Chinese, English, Japanese, Korean, Arabic, Cyrillic, Thai, etc). Provides Rust crate + C API + CLI tools. Fast, lightweight, easy-to-integrate.

OxiZ is a high-performance Satisfiability Modulo Theories (SMT) solver written entirely in Rust. This project is part of an initiative to reimplement Z3 in Pure Rust. Pure Rust is a fundamental requirement - no C/C++ dependencies, no FFI bindings, just clean, safe Rust code.

DEML — High Throughput Event Platform for Real-Time Detection and Response

🧠🛡️ Complete memory & security for AI agents. Persistent storage, semantic search, prompt injection firewall, audit trail. One package.

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

CartoBoost geospatial and temoporal boosting

The self-evolving agentic framework for bioinformatics

No repository description published.

.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.

data science in JavaScript, part of the tangent scientific computing suite

An interactive HTML pretty-printer for machine learning research in IPython notebooks.

Numo::OpenBLAS builds and uses OpenBLAS as a background library for Numo::Linalg

No repository description published.

JAX-native differentiable protein folding framework integrating experimental NMR constraints (RDCs) and biophysical "self-correction." Several Jupyter Notebooks visualize the concepts.

Run, quantize, and fine-tune LLMs on Apple Silicon. Pure Rust, no Python, no CUDA, no ONNX

Production-grade Python toolkit for credit risk modeling — scorecards, LR, LightGBM/XGBoost, WOE/IV, PSI, KS, SHAP. Source-protected wheels via Cython.

High performance gradient boosting for Ruby

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

Ferrum is a statistical visualization library for Python: a grammar-first charting system that unifies exploratory plots, statistical graphics, interactive views, and model diagnostics, backed by a Rust engine. Built in 10 days by one human and an agentic Claude framework.

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Impress your boss with interactive Decision Tree visualization

Simple python interface for the OpenProtein.AI REST API.

No repository description published.

Visual storytelling for deep learning training runs.