Neural Networks: Zero to Hero

Multi-agent system built with .NET 10 and Microsoft Agent Framework that orchestrates specialist agents for database querying and file exporting (Excel, Word, PDF) via Azure OpenAI.

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

Security gateway for OpenClaw agents — CIBA-based auth with Telegram approval. Your agent has API keys. It shouldn't.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Python tool for converting files and office documents to Markdown.

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

FusionCache is an easy to use, fast and robust hybrid cache with advanced resiliency features.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Powerful AI Client

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

21 Lessons, Get Started Building with Generative AI

[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

This project aims at creating a search engine based on BERT language model.

Tensor library for machine learning

A repository of code samples for Vector search capabilities in Azure AI Search.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

An Open-source Toolkit for LLM Development

Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.

LLM inference in C/C++

A colab gradio web UI for running Large Language Models

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Overview and tutorial of the LangChain Library

Source code for the book "Practical Deep Learning: A Python-Based Introduction" (No Starch Press, 1st Edition)

#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere

A collection of experimental applications to play with generative AI tasks (text, images, audio, and more) using .NET

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Examples and guides for using the OpenAI API

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.