Modern survival analysis for Python.

TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440

Language server, formatter, and linter for Markdown, Quarto, and R Markdown

Implementation of TabTransformer, attention network for tabular data, in Pytorch

Mac-style shortcut keys for Linux & Windows.

Materials for my scikit-learn tutorial

Diagrams of concepts in physics/chemistry/ML

Analyze spectroscopy data using tidy-data philosophy

Explaining the output of machine learning models with more accurately estimated Shapley values

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.

R formatter and language server

Source for book "Feature Engineering A-Z"

Lesson series for the Openscapes Champions program

Java Environments for R Projects

Source and slides for "Why you should be using tidymodels" at UW-Madison

Tutorial on creating effective data plots for the SSA Statistical Computing and Visualisation section.

R functions for the chemometric analysis of spectra

R package baseline

Transfer Learning Benchmark Dataset

Latex code for making neural networks diagrams

R package for deep learning image segmentation

UA Workshop: Python for R users

Workshop on GAMs to support Ukraine