AI Agent Skills

Wan: Open and Advanced Large-Scale Video Generative Models

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-ima…

Fit interpretable models. Explain blackbox machine learning.

A flexible, high-performance serving system for machine learning models

A framework for efficient model inference with omni-modality models

Build local voice agents with open-source models

An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.