@BenevolentAI
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BenevolentAI

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  • Stars
    star
    757
  • Global Org. Rank 18,463 (Top 6 %)
  • Registered about 8 years ago
  • Most used languages
    Python
         90.9 %
    HTML
         9.1 %

Top repositories

1

guacamol

Benchmarks for generative chemistry
Python
401
star
2

DeeplyTough

DeeplyTough: Learning Structural Comparison of Protein Binding Sites
Python
153
star
3

guacamol_baselines

Baselines models for GuacaMol benchmarks
Python
133
star
4

MolBERT

Python
122
star
5

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.
Python
14
star
6

CoMP

CoMP: Contrastive Mixture of Posteriors
Python
10
star
7

ukbiobank-loaders

Python
6
star
8

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.
Python
5
star
9

funkea

Perform functional enrichment analysis at scale.
Python
2
star
10

guacamol_results

HTML
2
star
11

sre-interview

Interview scenario for Level 2 SREs
Python
1
star