Universal LLM Deployment Engine with ML Compilation
- llm
- machine-learning-compilation
- language-model
- tvm
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Universal LLM Deployment Engine with ML Compilation
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
Learn OpenCV : C++ and Python Examples
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
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UI Library for Design Engineers. Animated components and effects you can copy and paste into your apps. Free. Open Source.
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Translated50 code implementations of data structures and algorithms that you must know
Translated🔥 MaxKB is an open-source platform for building enterprise-grade agents. A powerful and easy-to-use open-source enterprise-grade agent platform.
get things from one computer to another, safely
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
TranslatedCollection of CVPR 2026 papers and open-source projects
Web Extension for saving a faithful copy of a complete web page in a single HTML file
Project documentation with Markdown.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
A Python Interpreter written in Rust
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Xiaomi Home Integration for Home Assistant
TranslatedA Chinese-localized version of Humanizer, a Claude Code Skill designed to remove traces of AI generation from text.
TranslatedA Python web scraping tutorial series, learning Python web scraping from 0 to 1, including browser packet capture and mobile APP packet capture with tools such as fiddler and mitmproxy, the use of the various modules involved in web scraping, such as requests, beautifulSoup, selenium, appium, scrapy, etc., as well as IP proxies, CAPTCHA recognition, using Mysql and MongoDB databases with Python, multi-threaded and multi-process scraping, reverse engineering and cracking of CSS scraping encryption, JS scraping reverse engineering, distributed scraping, practical scraping project examples, etc.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator