FastAPI framework, high performance, easy to learn, fast to code, ready for production FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https://github.com/fastapi/fastapi FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints. The key features are: Fast: Very high performance, on par with …
Bring portraits to life!LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control Jianzhu Guo 1*† Dingyun Zhang 1,2* Xiaoqiang Liu 1 Zhizhou Zhong 1,3 Yuan Zhang 1 Pengfei Wan 1 Di Zhang 1 1 Kuaishou Technology 2 University of Science and Technology of China 3 Fudan University * Equal contributions † Corresponding author English | 简体中文 🔥 For more results, visit our homepage 🔥 🔥…
LiveStore is a next-generation state management framework based on reactive SQLite and built-in sync engine. What LiveStore does 🏰 Provide a powerful data foundation for your app. ⚡ Reactive query layer with full SQLite support. 🔌 Adapters for most platforms (web, mobile, server/edge, desktop). 📐 Flexible data modeling and schema management. 📵 Support true offline-first workflows. 💥 Custom merge conflict resolution. 🔄 Sync with a supported provider or roll your own. Getting Started React Web…
Framework to prove inference of ML models blazingly fast🚀 DeepProve: Zero-Knowledge Machine Learning (zkml) Inference Welcome to DeepProve, a cutting-edge framework designed to prove neural network inference using zero-knowledge cryptographic techniques. Whether you're working with Multi-Layer Perceptrons (MLPs) or Convolutional Neural Networks (CNNs), DeepProve offers a fast and efficient way to verify computations without revealing the underlying data. zkml is the name of the subcrate imp…
A unified framework for machine learning with time seriesWelcome to sktime A unified interface for machine learning with time series 🚀 Version 0.37.0 out now! Check out the release notes here. sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks. It comes with time series algorithms and scikit-…
DUIX-Mobile: On-Device AI-Powered Digital Human SDK for Real-Time Interaction (Android/iOS) Table of Contents： Introduction Features Documentation Model Downloads Use Case FAQ Contact Us 1. Introduction DUIX=Dialogue User Interface System DUIX.com is a leading global platform for digital human capabilities, offering cloud/edge real-time interaction, digital human video generation, and cloning/customization through an all-in-one solution. We create intelligent human-comput…
All-in-one Mail & Collaboration server. Secure, scalable and fluent in every protocol (IMAP, JMAP, SMTP, CalDAV, CardDAV, WebDAV). Secure, scalable mail & collaboration server with comprehensive protocol support 🛡️ (IMAP, JMAP, SMTP, CalDAV, CardDAV, WebDAV) Features Stalwart is an open-source mail & collaboration server with JMAP, IMAP4, POP3, SMTP, CalDAV, CardDAV and WebDAV support and a wide range of modern features. It…
A real-time F1 dashboard Real-time Formula 1 telemetry and timing f1-dash A real-time F1 dashboard that shows the leader board, tires, gaps, laps, mini sectors and much more contributing I really appreciate it if you want to contribute to this project. I can recommend the GitHub issues marked as "Good First Issue" to get started. Also please read CONTRIBUTING.md to learn how to contribute and setup f1-dash on your local machine for development. supporting If you want to…
HeyGem - Open Source Alternative to Heygen Table of Contents What's HeyGem Introduction How to Run Locally Open APIs What's New FAQ How to Interact in real time Contact License Acknowledgments Star History 1. What's HeyGem HeyGem is a free and open-source AI avatar project developed by Duix.com. Seven years ago, a group of young pioneers chose an unconventional technical path, developing a method to train digital human models using real-person video data. Unlike traditio…