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benevolentai-dat

BenevolentAI's Diversity Analysis Tool (DAT) is a software package that can be used to produce demographic analysis reports given health data sets that contain for fields of age, sex, ethnicity, race and socio-economic status. For example, you might have a data about a cohort of patients and want to know how well you cover various ethnicities, age groups, sex groups and socio-economic status levels. Assuming your data sets have some of these fields, this software will help generate various views of the data to help inform your work. The DAT tool was developed as part of BenevolentAI's Diversity in Data Initiative, which aims to help improve the ways patients are represented in precision medicine. It is meant to help inspire other developers to find ways of assessing the data diversity in their current and prospective health data sets.

comp

CoMP: Contrastive Mixture of Posteriors

deeplytough

DeeplyTough: Learning Structural Comparison of Protein Binding Sites

funkea

Perform functional enrichment analysis at scale.

guacamol

Benchmarks for generative chemistry

guacamol_baselines

Baselines models for GuacaMol benchmarks

guacamol_results

molbert

r2e-evaluation-data

relvm

This repository contains the code accompanying the paper "Learning Informative Representations of Biomedical Relations with Latent Variable Models", Harshil Shah and Julien Fauqueur, EMNLP SustaiNLP 2020.

semantic-release-docker

Semantic release plugin for building and pushing docker images

snyk-broker-helm

sre-interview

Interview scenario for Level 2 SREs

ukbiobank-loaders