stock market models - have fun

Polars R binding

Open MPI main development repository

Bindings for Bayesian TidyModels

Windows/macOS/Linux binaries and installation methods of TinyTeX

The Composer of ggplots

Bayesian inference with probabilistic programming.

Model based adaptive optimal design

Population Experimental Design (PopED) in R

An R package that provides easy-to-use wrapper functions for PFIM

Open source code for AlphaFold 2.

D-CODE: Discovering Closed-form ODEs from Observed Trajectories

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

High-level batteries-included neural network training library for Pytorch

Fitting dose-response models in R

One day course on causal inference, MPI-EVA 9 September 2021

Piece-wise exponential Additive Mixed Modeling tools

Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Simulation scripts for matching weights in three-group studies (Epidemiology 2017)

Visualizations of distributions and uncertainty

Material for my proposed StanCon talk

Repository for Introduction to Bayesian Estimation of Causal Effects

❗ This is a read-only mirror of the CRAN R package repository. bossMaps — Convert Binary Species Range Maps into Continuous Surfaces Based on Distance to Range Edge

git repo of models contained in ddmore model repository

Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series