AI Agent Skills

Datasets, Transforms and Models specific to Computer Vision

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

A general fine-tuning kit geared toward image/video/audio diffusion models.

Accessible large language models via k-bit quantization for PyTorch.

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Training PyTorch models with differential privacy

Advancing Open-source World Models

An iOS OCR Server Using Apple’s Vision Framework

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit…

Wan: Open and Advanced Large-Scale Video Generative Models

top #1 and most feature rich GPT wrapper for git — generate commit messages with an LLM in 1 sec — works with Claude, GPT and every other provider, supports local Ollama…

The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.

Automated Penetration Testing Agentic Framework Powered by Large Language Models

A lightweight coding agent for open models like Deepseek, Kimi, and Qwen