Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.
A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
Inference engine for running AI models locally inside apps, with Rust core and Swift, Python, and TypeScript bindings.
Framework where coding agents discover and refine robot sensorimotor skills as reusable code in place of gradient-based training.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.
Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.
Desktop and CLI tool that trains 3D Gaussian Splatting models from photos or video, then exports splats and textured meshes, using Vulkan compute.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Swift SDK running open-source speech models (ASR, TTS, VAD, speaker diarization) locally on Apple devices via CoreML and the Neural Engine.