Software to perform multi-ancestry SNP fine-mapping on molecular data

gia: Genomic Interval Arithmetic

PWAS leveraging pQTL summary data

Robust Learning using Variational Inference

Code for R package dlmtree

rattler-build is a universal package builder for Windows, macOS and Linux

VCF compression tool

Vector Approximate Message Passing inference framework for GWAS

Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of regulatory elements.

XReason - formal reasoning about explanations for ML models

ldshrink: a one-stop R package for shrinkage estimation of linkage disequilibrium

GEPSi simulates phenotypes for GWAS data based on a range of conditions and biological assumptions.

Every Gene Ever Annotated in published GWAS

Implementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutations have increasingly large phenotypic effects.

A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Lightweight, useful implementation of conformal prediction on real data.

Home of DAIR.AI

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Code repository for Pietzner M, Wheeler E, et al. 2021 "Mapping the proteo-genomic convergence of human diseases"

Sequential regulatory activity predictions with deep convolutional neural networks.

10x faster matrix and vector operations