AI Agent Skills

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

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…

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

🔅 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 simple yet powerful agent framework that delivers with open-source models

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

(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language…

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.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…

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

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

Fast ML inference & training for ONNX models in Rust

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

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