Starred repositories
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
FreeCAD MCP(Model Context Protocol) server
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
🌐 The Internet Computer! Free, Open-Source, and Self-Hostable.
LocalStack Community Edition with support for persisted resources.
QR code scanner for playing Spotify songs blindly
Umami is a modern, privacy-focused alternative to Google Analytics.
A high-throughput and memory-efficient inference and serving engine for LLMs
On-device Speech Recognition for Apple Silicon
Chat with GitHub Copilot in Neovim
TypeScript-first schema validation with static type inference
OpenCV MCP Server provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). Access powerful computer vision tools for tasks ranging from basic image manipu…
The official TypeScript SDK for Model Context Protocol servers and clients
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
Noise supression using deep filtering
speech enhancement\speech seperation\sound source localization
Tool for onnx->keras or onnx->tflite. Hope this tool can help you.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
This is the unofficial implementation of MFNet, from paper''a Mask Free Neural Network for Monaural Speech Enhancement''
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Transformer with Local Modeling by Convolution for Speech Separation and Enhancement