Stars
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Run any Linux process in a secure, unprivileged sandbox using Landlock. Think firejail, but lightweight, user-friendly, and baked into the kernel.
The most advanced browser fingerprinting library.
Gemini AI SDK for .NET and ASP.NET Core enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.
This repo created for bypassing Widevine L3 DRM and obtaining keys.
Automating Playwright steps using ChatGPT.
[NeurIPS 2024] Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment
aider is AI pair programming in your terminal
Our library for publishing metrics to statsd
Add chatGPT functionalities directly on Visual Studio
Markdown for WPF - render Markdown to a FlowDocument instead of HTML
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
OpenAI ChatGPT based MR reviewer and summarizer
Open-source vector similarity search for Postgres
Datasets, tools, and benchmarks for representation learning of code.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
A colab gradio web UI for running Large Language Models
Universal and Transferable Attacks on Aligned Language Models
Homebrew JSONs compatible with 5etools.
Open source codebase powering the HuggingChat app