AI Agent Skills

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Practical course about Large Language Models.

🤗 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…

Visualizer for neural network, deep learning and machine learning models

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

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

Interpretability and explainability of data and machine learning models

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.