AI Agent Skills

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

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…

Fit interpretable models. Explain blackbox machine learning.

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

The agent-native LLM router for OpenClaw. 41+ models, <1ms routing, USDC payments on Base & Solana via x402.

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

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

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

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…

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.

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

A Python package to assess and improve fairness of machine learning models.

A library for training and deploying machine learning models on Amazon SageMaker

Interpretability and explainability of data and machine learning models