Jupyter Notebook drug-discovery

Open-source Jupyter Notebook projects categorized as drug-discovery

Top 5 Jupyter Notebook drug-discovery Projects

  • DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  • graphein

    Protein Graph Library

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • DeepPurpose

    A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

  • bidd-molmap

    MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

  • DrugDiscovery-Tox21

    Drug discovery project by making use of the Tox-21 dataset.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source drug-discovery projects in Jupyter Notebook? This list will help you:

Project Stars
1 DeepLearningExamples 12,607
2 graphein 978
3 DeepPurpose 910
4 bidd-molmap 134
5 DrugDiscovery-Tox21 16

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com