AI Agent Skills

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

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

🔅 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.

Ui.Vision Open-Source RPA Software with Computer Vision, OCR, Anthropic Computer Use/LLM. Selenium IDE import/export.

🤗 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

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Training PyTorch models with differential privacy

Interpretability and explainability of data and machine learning models

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual L…

Effortless data labeling with AI support from Segment Anything and other awesome models.