Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

OpenShell is the safe, private runtime for autonomous AI agents.

Create your own ChatGPT App in seconds.

A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Transformer: PyTorch Implementation of "Attention Is All You Need"

Build a transformer model from scratch using pytorch to understand its inner workings and gain hands-on experience with deep learning models in PyTorch.

The Ralph Wiggum Technique—the AI development methodology that reduces software costs to less than a fast food worker's wage.

Git hooks made easy 🐶 woof!

[KDD'2026] "VideoRAG: Chat with Your Videos"

Simple Python Flask web application designed for running in containers for demos

🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

Github로 프로젝트 관리하기

A tool for glamorous shell scripts 🎀

A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.

Shadcn UI example collection

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

LynavoDrive (Lynavo Drive) by Lynavo - an open-source alternative to iCloud and Google Photos for private photo backup and computer file access.

All the tools related to MC/DC test-case generation and adequacy checker are added here.

Tool for automatic MC/DC in C and in Python.

Philips Hue app for Homey that uses ZigBee directly. No need for bridge.

LangChain 을 더 쉽게 구현하기 위한 유틸 함수, 클래스를 만들어서 패키지로 배포하였습니다.

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.