Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:

natural language processing notebooks

Kubeflow examples - Notebooks, Pipelines, Models, Model tuning and more

This repo contains jupyter notebooks for learning pytorch-lightning

This project is the Kaggle notebook "Chicken Detection/Segmentation with MaskRCNN and Pytorch" code demo.

This repository contains an IPython Notebook detailing the process of classifying X-ray lung images into 4 discrete categories.

🚀 Gradient-based Counterfactual Explanation System for credit risk models, ensuring actionable and realistic insights for loan approvals. Features detailed notebooks, robust model training, and interactive Streamlit deployment.

Comprehensive PyTorch Lightning framework featuring 20+ educational notebooks, advanced ML patterns, and production-ready workflows. Covers vision, NLP, tabular, and time series domains with distributed training, mixed precision, custom loops, and deployment pipelines. Complete with synthetic data generators and testing.

Este repositório contém todos os códigos realizados durante a formação Inteligência Artificial na Data Science Academy. Os códigos foram feitos em Python através do Jupyter Notebook e contém comentários detalhados sobre o passo a passo para uma análise preditiva com Deep Learning.