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MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.
A modern and completely free weightlifting workout tracker for iOS, written in SwiftUI.
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.
Modern(-ish) password hashing for your software and your servers
SQL transformation tool for DuckDB written in Rust
🎿 Clean, simple, easy to read, fast ski resort lift status.
Optimizing inference proxy for LLMs
A visual playground for agentic workflows: Iterate over your agents 10x faster
A workout tracker for iOS that includes cycling, running, as well as strength exercises. Supports Bluetooth sensors.
This is the official upstream of the Subsurface divelog program
Library for diver decompression model calculations.
Scuba Dive planner using Buhlmann algorithm, Python with PyQt5 GUI
ATProto Feed Generator Starter Kit
A data modelling layer built on top of polars and pydantic
Seamlessly integrate numpy arrays into pydantic models.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A cross platform app for tracking your lifts in the gym
Rust implementation of the Matter protocol.