Lists (8)
Stars
Autonomous experiment loop extension for pi
A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Tool to generate NI Stem from traditional stereo tracks
A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
Official implementation of Efficient Speech Separation Framework Based on Neural State-Space Models
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
AI-GENERATED MUSIC DETECTION IN BROADCAST MONITORING
The open-source app everyone uses to manage agents at work
AI agents running research on single-GPU nanochat training automatically
One-command setup to turn a Raspberry Pi into a 24/7 AI agent with browser control, chat integrations, and local LLMs. Powered by OpenClaw.
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs dir…
A minimal, secure Python interpreter written in Rust for use by AI
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
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.
Flux Domain Manager is a service for handling Flux network request for domain assignment to Flux itself or specific application
Whisper-Flamingo [Interspeech 2024] and mWhisper-Flamingo [IEEE SPL 2025] for Audio-Visual Speech Recognition and Translation
Speaker diarization benchmark framework
Extract audio files from a parquet or arrow file generated by Hugging Face `datasets` library.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
This is the audio sample repository for speech separation model "MossFormer2".
PyTorch implementation of "Source Separation by Flow Matching (FLOSS)" by Google DeepMind