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Blaizzy
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Blaizzy

Index Rank104

6 Tools · 1 Intel

Prince Canuma is a Poland-based ML engineer who worked at Neptune.ai on MLOps infrastructure before founding FastMLX, a production-grade API server for Apple's MLX framework, which was acquired by Arcee AI where he then served as an ML Research Engineer. He now works at Neywa Labs, specializing in on-device inference for large language, vision, and audio models on Apple Silicon.

Tools

MLX Audio(github.com/blaizzy/mlx-audio)

Speech library on Apple's MLX offering text-to-speech, speech-to-text, and speech-to-speech on Apple Silicon.

AI ToolsOpen SourceVoice & Audio7.9kMITbuilt by blaizzy
MLX-VLM(github.com/blaizzy/mlx-vlm)

Python package for running and fine-tuning vision language models locally on Apple Silicon Macs with MLX.

Developer ToolsOpen SourceLibraries5.5kMITbuilt by blaizzy
MLX Video(github.com/blaizzy/mlx-video)

Runs inference and fine-tuning of image, video, and audio generation models on Apple Silicon Macs using MLX.

AI ToolsOpen SourceImage & Vision301MITbuilt by blaizzy
MLX Audio Swift(github.com/blaizzy/mlx-audio-swift)

Modular Swift SDK for audio processing with MLX on Apple Silicon, covering TTS, STT, and analysis on iOS and macOS.

Developer ToolsOpen SourceLibraries776MITbuilt by blaizzy
MLX Embeddings(github.com/blaizzy/mlx-embeddings)

Runs vision and language embedding models locally on Apple Silicon using MLX for fast on-device retrieval.

AI ToolsOpen SourceLLM Infrastructure443NOASSERTIONbuilt by blaizzy
EspeakNG-Swift(github.com/blaizzy/espeakng-swift)

Swift bindings for espeak-ng that embed offline text-to-speech in iOS and macOS apps.

Developer ToolsOpen SourceLibraries9built by blaizzy

Intel

Coding LLMs from Scratch(github.com/blaizzy/coding-llms-from-scratch)

Blaizzy's hands-on series for building LLMs from scratch — code-first walkthroughs of architecture, training, and inference.

EducationOpen SourceCoding Education38built by blaizzy