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A little curiosity. A world of open source.
THE FIRST COLLECTIONModular Platform is an open-source unified platform for AI development and deployment, hosting the MAX framework and Mojo language, including compiler, standard library, accelerator kernels, and an OpenAI-compatible inference server.
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.
VectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.
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.
Tesseract is an open-source OCR engine that provides a command-line tool and a library for recognizing text in images across more than 100 languages.
A comprehensive toolkit for computer vision that provides model-agnostic building blocks for data loading, visualization, and dataset management.
Gradio is an open-source Python library for quickly building and sharing web applications for machine learning models, APIs, or any Python function without requiring web development experience.
Cog packages machine learning models into production-ready Docker containers, automatically handling CUDA compatibility and generating an HTTP inference API from Python type definitions.
Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch, supporting universal probabilistic models and automated inference.
Free, open-source AI engineering curriculum from first principles: 523 lessons in 20 phases (~342 hours), with math-to-production coverage in Python, TypeScript, Rust, and Julia. Every lesson ships a reusable prompt, skill, agent, or MCP server; includes an installable AI tutor and Claude certification prep.
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 pure-Python scientific computing platform with 22 modules covering quantum, ML, statistics, ODE solvers, and more—zero runtime dependencies, with optional NumPy/SciPy adapters for validation and reproducibility.
Julia is a high-level, high-performance dynamic programming language for technical computing. This repository hosts the language's source code, build instructions, standard library, REPL, and links to documentation, packages, and community resources.
AUB-HTP is a Python toolkit for analyzing Alpha Stable (Levy-Stable) distributions, offering PDF generation, random sampling for univariate and multivariate cases, and support for various parametrizations and spectral measures.
A modern C++ toolkit providing machine learning algorithms and tools for data analysis and real-world application development.
DVC is a command-line tool and VS Code extension for versioning data and ML models, building reproducible pipelines, and tracking experiments locally with Git.
EasyOCR is a ready-to-use optical character recognition library supporting 80+ languages and major writing scripts. It offers a simple Python API and CLI, with PyTorch-based detection and recognition models, plus options for custom training.
A collection of machine learning and deep learning code examples and tutorials accompanying online courses. Covers topics from linear regression to reinforcement learning, NLP, computer vision, and generative AI.
X-AnyLabeling is a cross-platform desktop application for AI-assisted annotation of image, video, text, and multimodal data, with many built-in deep learning models, diverse labeling tools, and multi-format import/export.
