AI Engineering Hub is a comprehensive GitHub repository offering in-depth tutorials and 93+ production-ready projects on LLMs, RAGs, AI agents, and real-world AI applications for all skill levels.
AI Client2023
Brings ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok and other AI chat services into one desktop app, each in its own isolated session and window. Adds prompt management, multi-window layouts, a built-in terminal, and local-first history.
A free, open textbook on engineering ML systems — building efficient, reliable AI from a single GPU up to warehouse-scale clusters. Goes beyond model design and MLOps tooling to the underlying science: scheduling, quantization, data pipelines, serving.
AI Image2023
Browser-based editor for inspecting, editing, optimizing and publishing 3D Gaussian splats. Runs entirely in the browser with live preview, localization support, and export/publishing workflows — no install required, aimed at quick iteration and lightweight delivery.
AI Infra2023
Turns any website into structured data or an API without code: record clicks once to capture lists and tables, or describe fields in plain language for AI extraction. Also crawls full sites, scrapes pages to Markdown, and runs filtered searches.
AI Agent2023
Routes LLM and agent decisions through semantic similarity instead of waiting for full generations, useful for intent routing, tool selection, guardrails, and multimodal handling.
Embodied AI2023
Provides a scalable physics-and-rendering simulation interface for robotics and embodied-AI research — unified multi-physics solvers, the Nyx renderer, and the Quadrants compiler. Runs from laptop to datacenter GPUs; suited for sensor-rich data generation and RL/robotics prototyping.
Embodied AI2023
Genesis Authors, Genesis-Embodied-AICarnegie Mellon University, Massachusetts Institute of Technology +5
GPU-native physics engine unifying rigid-body, fluid, cloth, and deformable solvers in one Python framework for robotics and embodied-AI research. Built by a 20+ lab collaboration, now backed by Genesis AI, with generative tools to author 4D scenes.
AI Audio2023
Unifies text-to-speech, singing voice synthesis, voice conversion, and text-to-audio/music in one PyTorch framework with shared vocoders and a common evaluation pipeline. Ships recipes, pretrained checkpoints, and visualizations of classic models.
AI Client2023
Hands-free voice-first companion with a Live2D avatar for real-time conversations with LLMs. Cross-platform web and desktop clients, runs locally or via cloud APIs, supports local ASR/TTS and modular customization for personas and models.
AI Train2023
Collection of runnable model implementations — LLaMA, Mistral, Stable Diffusion, Whisper, CLIP, plus LoRA fine-tuning — ported to the MLX array framework so they run natively on Apple silicon's unified memory rather than CUDA.
AI Infra2023
Provides a NumPy-like array framework for building and training ML on Apple silicon, with Python, C/C++, and Swift APIs plus PyTorch-style higher-level modules. Features lazy evaluation, composable AD/vectorization, and a unified-memory multi-device model so arrays can be used on CPU and GPU without explicit copies.