Become a sponsor to Aleksandr Beshkenadze
I build open-source tools for local AI, model experimentation, and developer workflows.
Your sponsorship helps me keep these projects maintained, tested, documented, and available to everyone. It supports the ongoing work behind the scenes: testing models, fixing issues, improving tooling, and covering infrastructure or hardware costs.
If these projects save you time or help you build something, sponsorship is a direct way to support the work.
The more people who support it, the more exciting it is to develop open source.
Featured work
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Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Python 7,751 -
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Python 5,356 -
Blaizzy/mlx-audio-swift
A modular Swift SDK for audio processing with MLX on Apple Silicon
Swift 758 -
bshk-app/murmur
On-device push-to-talk dictation for macOS.
Swift 13