Open source. Open possibilities.

PolyOCR Service is a multi-language OCR service built on PaddleOCR 3.x, supporting recognition for 78 languages, optional translation capabilities, and a standalone PaddleOCR-VL service.

Colossal-AI is an open-source system for training and running large AI models more cheaply and efficiently, offering parallel training strategies, memory management, and inference acceleration for LLMs, diffusion models, and more.

Microsoft's 10-week, 20-lesson data science curriculum for beginners, with project-based lessons, quizzes, and 50+ language translations.

Official code repository for 'Build a Large Language Model (From Scratch)': step-by-step PyTorch implementation of GPT-like models, covering pretraining and finetuning with notebooks and exercises.

GramGuidedURA provides code for semi-blind channel estimation in Unsourced Random Access (URA) using Gram-guided diffusion models.

fastai is a deep learning library built on PyTorch that provides both high-level components for rapid productivity and low-level components for research and customization.

FiftyOne is an open-source tool for building high-quality datasets and computer vision models. It enables users to visualize, label, evaluate, and curate visual AI data.

JouleWise is a benchmarking harness designed for the flexible power analysis of LLM inference workloads, focusing on auditable energy and latency measurement.

Iris is a local-first MCP server that scores AI agent runs for quality, safety, and cost using 20 built-in deterministic rules, an optional LLM judge, and a web dashboard — all on your machine with no account or telemetry.

TensorFlow Model Garden is a repository of state-of-the-art model implementations and examples for TensorFlow, including official, research, and community models, plus the Orbit training library.

COSPA is a cost-performance benchmark for coding agents that evaluates models across coding, repository repair, and system administration tasks to determine value for money.

PyTorch is an open-source machine learning library providing tensor computation with GPU acceleration and a flexible deep neural network framework based on a tape-based autograd system.

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.

PyMC is a Python package for Bayesian statistical modeling featuring advanced MCMC and variational inference algorithms, with intuitive model specification syntax and support for complex probabilistic models.

Keras 3 is a multi-backend deep learning framework that allows users to build and train models using JAX, TensorFlow, PyTorch, or OpenVINO.

nanoGPT is a simple and fast repository for training and fine-tuning medium-sized GPT language models. It reproduces GPT-2 (124M) on OpenWebText and supports character-level and full-scale training with PyTorch.

VeighNa (VeighNa Studio) is an open-source Python-based quantitative trading framework with event-driven engine, supporting domestic/international market interfaces (CTP, IB, etc.) and modules for CTA strategies, algorithm trading, risk management, and data services. The 4.0 version introduces vnpy.alpha module for AI-powered multi-factor machine learning strategy development.

A tiny GPT language model (~540M parameters) designed to be trained from scratch on consumer laptop hardware, with pretraining on Fineweb-edu and chat finetuning capabilities.

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

TRL is a comprehensive library for post-training foundation models using reinforcement learning and preference optimization techniques, built on the Hugging Face ecosystem.