Predictive Biomarker Modeling Framework (PBMF)

R package implementing variational Empirical Bayes boosting methods.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

A Python-based EGA download client

Library of autoencoders for sequential data

A better client for DroidCam on Linux. Uses adb, ffmpeg and v4l2loopback to create a virtual webcam.

A very small toolbox for working with data from the Parkinson's Progression Markers Initiative (PPMI)

Images and other data from the JUMP Cell Painting Consortium

Scalable Ultra-Sparse Bayesian PCA

P(R*_{3, 0, 1}) specialized SIMD Geometric Algebra Library

Pytorch implementation of GRU-ODE-Bayes

A faster and angrier package for EBMF.

Must-read papers and resources related to causal inference and machine (deep) learning

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

This repository contains the code implementation of the Sparse Online Variational Bayesian Regression paper as well as two motivational demos.

R package for Genetic Factor Analysis (GFA)

A new model and algorithm for multivariate Bayesian variable selection regression.

Colocalisation pipeline for Open Targets Genetics

Fine-mapping pipeline for Open Targets Genetics

Emacs Speaks Statistics: ESS

Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec

Explore Logistic GLM Extension to SuSiE

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

A Deep Learning based Efficacy Prediction System for drug discovery

Geometric Algebra for Python

Bayesian Segmentation of Spatial Transcriptomics Data

Reference mapping for single-cell genomics

CellRank: dynamics from multi-view single-cell data