AI Agent Skills

A Julia machine learning framework

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Practical course about Large Language Models.

Interpretability and explainability of data and machine learning models

Synthetic data curation for post-training and structured data extraction

Automated Machine Learning on Kubernetes

open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code an…

Machine learning with dataframes

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

fklearn: Functional Machine Learning

Supercharge Your Model Training

A C++ standalone library for machine learning

AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.

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.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.