Open source. Open possibilities.

A comprehensive toolkit for computer vision that provides model-agnostic building blocks for data loading, visualization, and dataset management.

Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch, supporting universal probabilistic models and automated inference.

Sonnet is a neural network library by DeepMind built on TensorFlow 2. It provides simple, composable abstractions via the snt.Module concept for machine learning research, supporting custom modules, serialization, and distributed training.

A modern C++ toolkit providing machine learning algorithms and tools for data analysis and real-world application development.

Swift Tokenizers is a high-performance Swift wrapper around Hugging Face's Rust tokenizers crate, focused solely on tokenization without Hub dependencies. It supports macOS, iOS and Linux, offering encoding, decoding, streaming detokenization, chat templates and tool calling.

PyCaret 4.0 is an open-source, self-hosted AutoML platform for Python: a sklearn-native engine plus a FastAPI control plane and React UI, runnable locally with a single docker compose command.

Anakrisis is an ethics-aware OSINT investigation planning and risk evaluation MCP server. It classifies investigations, scores risk against local YAML doctrine, flags prohibited actions, and scaffolds case documentation, supporting both cloud and local AI models.

Curated reading list on building scalable, reliable, high-performance large-scale systems, with design principles, case studies from tech giants, and interview resources.

OpenBB Open Data Platform (ODP) is an open-source toolset for integrating proprietary, licensed, and public financial data into AI copilots, research dashboards, and Python environments.

Gorse is an open-source, AI-powered recommender system engine in Go, supporting multi-source, multimodal, and LLM-based recommendations with a GUI dashboard and RESTful APIs.

ML.NET is an open-source, cross-platform machine learning framework for .NET that lets developers build, train, deploy, and consume custom models directly in .NET apps without needing Python or R.

A low-latency, modular voice-agent pipeline (VAD -> STT -> LLM -> TTS) that implements the OpenAI Realtime event set over WebSocket and WebRTC.

XGBoost is an optimized distributed gradient boosting library that is efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework and provides parallel tree boosting (GBDT, GBM) to solve data science problems accurately and quickly. It runs on major distributed environments and supports multiple languages.

Recotem is a recipe-driven recommender system tool built on irspack. One YAML defines data, training, and output; train produces a signed artifact, serve mounts it as a REST API with hot-swap. Single binary, no database.

PaddlePaddle is an industrial-grade deep learning platform providing a comprehensive framework for machine learning, including model libraries and development kits.

FairMind is an open‑source AI governance platform providing bias detection, fairness testing, and compliance tracking for ML, LLM, and multimodal AI models. It offers evidence‑grade evaluation, model registry, and remediation tools.

Bindu is an open-source framework that provides identity, communication, and payment infrastructure for AI agents, enabling them to interact securely via A2A protocol with built-in mTLS, OAuth2, DID signatures, and x402 payments.