- Turkey-Ankara
- https://www.linkedin.com/in/mohammedkadi/
Stars
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
asulwer / RulesEngine
Forked from microsoft/RulesEngineRules Engine with extensive Dynamic expression support
A framework for building native applications using React
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Robust Speech Recognition via Large-Scale Weak Supervision
Editor for Microsoft RulesEngine - Blazor UI library intended for integration in Web or Desktop
A Json based Rules Engine with extensive Dynamic expression support
A database comparison tool for Microsoft SQL Server 2005+ that reports schema differences and creates a synchronization script.
AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency.
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Serverpod is a next-generation app and web server, explicitly built for the Flutter and Dart ecosystem.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
Video+code lecture on building nanoGPT from scratch
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Build resilient language agents as graphs.
LlamaIndex is a data framework for your LLM applications
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Code and documentation to train Stanford's Alpaca models, and generate the data.