The Regularization Cookbook, published by Packt

Hyperparameter Tuning with Python

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Python implementation of binary and multi-class Venn-ABERS calibration

Starter repo for the random forest loan default classification Manning liveProject.

Library used to apply the transformation that best normalizes a variable's distribution

AI-Assisted Software Development with GitHub Copilot and ChatGPT

Python Feature Engineering Cookbook, Third Edition, published by Packt

RoBO: a Robust Bayesian Optimization framework

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Practical Deep Learning at Scale with MLFlow, published by Packt

Machine Learning Engineering with MLflow, published by Packt

Practical Automated Machine Learning Using H2O.ai., published by Packt

Machine Learning at Scale with H2O, Published by Packt

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

Python implementations of the Boruta all-relevant feature selection method.

Flexible and transparent Python Boruta implementation

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Data Visualization Tutorial | Matplotlib | Seaborn | Pandas

Trainable PyTorch reproduction of AlphaFold 2

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Code for the book Art of Feature Engineering

Machine Learning for Imbalanced Data, published by Packt