Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Setup guide for ML training on NVIDIA DGX Spark (GB10 Blackwell, CUDA 13, aarch64)

A listing of compiler, language and runtime teams for people looking for jobs in this area

A Swift library for creating and exporting CoreML Models in Swift

Convert StableHLO models into Apple Core ML format

MoE training for Me and You and maybe other people

WIP: Experiments with 2-bit QAT and LoRA

experiments with MLX

a mini 2x2 systolic array and PE demo

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

NanoGPT (124M) in 2 minutes

Test code for my custom float multiply blog post: https://probablydance.com/2025/02/08/why-does-integer-addition-approximate-float-multiplication/

MLX: An array framework for Apple silicon

A machine learning accelerator core designed for energy-efficient AI at the edge.

Hierarchical Reasoning Model Official Release

MLX: An array framework for Apple silicon

Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!

NVIDIA Linux open GPU with P2P support

An open-source AI agent that brings the power of Grok directly into your terminal.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

GPU Adaptive Non-Uniform Quantization (GANQ) Unofficial Implementation

Artificial Neural Engine Machine Learning Library

Run embedding models locally in Swift using MLTensor.

Deep dive into Apple's AFMTextV7: 3.18B parameter foundation model with hybrid transformer architecture, native LoRA integration, and 1GB Apple Silicon footprint

A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.

Apple AMX Instruction Set