AI Agent Skills

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…

Chronos: Pretrained Models for Time Series Forecasting

Low-code framework for building custom LLMs, neural networks, and other AI models

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

Structured data extraction and instruction calling with ML, LLM and Vision LLM

Visualizer for neural network, deep learning and machine learning models

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…

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.

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

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

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