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    14 repositories

    • r2e-evaluation-data

      Public
      Other
      •0•3•0•0•Updated Jun 18, 2024Jun 18, 2024

    • guacamol_baselines

      Public
      Baselines models for GuacaMol benchmarks
      Python
      •
      MIT License
      •33•136•2•5•Updated Feb 16, 2024Feb 16, 2024

    • guacamol

      Public
      Benchmarks for generative chemistry
      Python
      •
      MIT License
      •84•420•10•3•Updated Feb 11, 2024Feb 11, 2024

    • funkea

      Public
      Perform functional enrichment analysis at scale.
      Python
      •
      MIT License
      •0•5•0•0•Updated Aug 10, 2023Aug 10, 2023

    • ukbiobank-loaders

      Public
      Python
      •
      MIT License
      •2•8•0•0•Updated May 23, 2023May 23, 2023

    • DeeplyTough

      Public
      DeeplyTough: Learning Structural Comparison of Protein Binding Sites
      protein-structuredrug-discoverymetric-learning3d-modelsdeep-learning
      Python
      •
      Other
      •37•158•9•0•Updated Apr 7, 2023Apr 7, 2023

    • CoMP

      Public
      CoMP: Contrastive Mixture of Posteriors
      Python
      •
      MIT License
      •1•10•0•0•Updated Jul 18, 2022Jul 18, 2022

    • snyk-broker-helm

      Public
      Smarty
      •37•0•0•0•Updated May 16, 2022May 16, 2022

    • semantic-release-docker

      Public
      Semantic release plugin for building and pushing docker images
      JavaScript
      •
      MIT License
      •15•0•0•0•Updated Nov 28, 2021Nov 28, 2021

    • RELVM

      Public
      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.
      information-extractionrepresentation-learningnlp-machine-learningbiomedicalprobabilistic-modelsemnlp2020
      Python
      •
      MIT License
      •3•14•2•0•Updated Sep 28, 2021Sep 28, 2021

    • benevolentai-dat

      Public
      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, a…
      Python
      •
      MIT License
      •1•5•0•0•Updated Sep 11, 2021Sep 11, 2021

    • MolBERT

      Public
      Python
      •
      MIT License
      •37•126•7•1•Updated Jun 6, 2021Jun 6, 2021

    • sre-interview

      Public
      Interview scenario for Level 2 SREs
      Python
      •0•1•0•0•Updated Nov 24, 2020Nov 24, 2020

    • guacamol_results

      Public
      HTML
      •
      MIT License
      •2•2•0•0•Updated Oct 12, 2020Oct 12, 2020