General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

A Collaborative list of things to know before submitting to CRAN

The Book of Statistical Proofs

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …

Code to accompany the arXiv:2403.03388 paper

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

Good books, good vibes

A collection of useful .gitignore templates

A simple plagiarism detection tool for python code

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

SwinIR: Image Restoration Using Swin Transformer (official repository)

The state-of-the-art method for denoising 1D signals

Inform users clogging the #BlackLivesMatter tag on IG with solid images

A simple implementation of the WaveNet model for time series forecasting

Notes and exercise attempts for "An Introduction to Statistical Learning"

Folklore facts on probability distribution learning, testing, and whatever-ing

R package for estimating multivariate Hawkes processes

Testing Local Independence in Point Processes

Changepoint detection on a graph of time series.

Narrowest-Over-Threshold Approach For General Change-Point Detection: Simulation Code

GSOC 2021. R package that performs changepoint analysis using the Binary Segmentation algorithm. Supports several statistical distributions. The model is computed in C++ and then interfaced with R …

Reference implementations of popular deep learning models.

An R Package for Change Point Localisation

Time-varying reduced rank regression using state-space models

Read the Word of God from your terminal

Data, Benchmarks, and methods submitted to the M6 forecasting competition