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Stars
An implementation of the Debug Adapter Protocol for Python
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.
In-depth attack surface mapping and asset discovery
Access large language models from the command-line
Virtual whiteboard for sketching hand-drawn like diagrams
A Rust-based agent orchestrator enabling a swarm of Claude Code instances building software.
A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases
🎚️ Open Source Audio Matching and Mastering
Node based GUI for The Composers Desktop Project
A curated list of awesome audio technology resources for developers
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
a truly censorship-resistant alternative to Twitter that has a chance of working
Sound As Pure Form - a Forth-like language for audio synthesis using lazy lists and APL-like auto-mapping.
A vector search SQLite extension that runs anywhere!
A Django content management system focused on flexibility and user experience
Pure Data embeddable audio synthesis library
The Web framework for perfectionists with deadlines.
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Quickly rewrite git repository history (filter-branch replacement)
High-quality pro audio resampler / sample rate conversion header-only C++ library. Very fast, for both audio resampling and time-series interpolation.
[ECCV2024] 🐙Octopus, an embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…