#machine-learning

Lost and found service for educational institutions.

Model-agnostic remote and local text-to-music/audio generation for the AbstractFramework ecosystem. Lightweight base install; optional local runtimes (ACE-Step, Diffusers).

Benchmarks, scripts, and runnable ML experiments by Sameer Maurya

High-performance interpretable ML classifier using High Utility Gain patterns (IEEE Access 2024). C++ accelerated, scikit-learn compatible, with EBM-style explanations, adaptive binning, pattern pruning, and deployment tooling for regulated domains.

An unofficial C#/.NET SDK for accessing the Anthropic Claude API. This package is not affiliated with, endorsed by, or sponsored by Anthropic. Anthropic and Claude are trademarks of Anthropic, PBC.

Training API and CLI

The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.

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

The ComBat algorithm for a learning framework (scikit-learn compatible)

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

Rust bindings for LightGBM

A framework for giving any AI agent persistent, browser-trainable SSM memory — Mamba models, swappable LLM bridges, and online distillation. The hippocampus behind BuilderForce.ai.

C# client library for Chalk feature platform

simple neural network library in C99

A Python Quantification Library

PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool for PHP, built on the VADER (Valence Aware Dictionary and Sentiment Reasoner) sentiment lexicon.

Collection of language detection libraries for .NET: FastText, CLD2, CLD3, MediaPipe, Lingua, Whatlang

a Rust runtime for local language models

Impress your boss with interactive Decision Tree visualization

Model-agnostic multi-modality generation server with plugin discovery: OpenAI-compatible TTS, embeddings, and image generation. Drop a Python file in ~/.muse/models/ to add a backend.

Babel Street Analytics Client Library for Ruby

Calculating a range of protein descriptors using their physicochemical, biological and structural properties 🔬.

High performance gradient boosting for Ruby

High-performance, multi-provider LLM SDK for Go. Unified access to OpenAI, Anthropic, Gemini, Ollama, OpenRouter with adaptive rate limiting and concurrency control.

Local quota-aware video settings classifier with conservative policy gates

(Mirror) A Machine-to-Machine Interaction System for Lean 4

Official repo for Windows ML - Microsoft's high-performance local AI inferencing framework for Windows.

AI-native tensor format (.ptt) for structural biology ML. Convert a protein/nucleic-acid/ligand structure or sequence once; load backbone, MSA, ESM embeddings, sparse pair features, and ligand pockets with zero parsing. Feeds Boltz-2 (verified), AlphaFold 3, Chai-1, Nesso. Zarr-backed, PyTorch/JAX, streams from S3/GCS.

AI agent debugging, collaboration, and trace observability. Built for teams using CrewAI, OpenAI, and more.

Rust client for txtai