awesome-drug-pair-scoring VS PDN

Compare awesome-drug-pair-scoring vs PDN and see what are their differences.

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awesome-drug-pair-scoring PDN
4 1
85 57
- -
0.0 0.0
over 1 year ago over 1 year ago
Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-drug-pair-scoring

Posts with mentions or reviews of awesome-drug-pair-scoring. We have used some of these posts to build our list of alternatives and similar projects.

PDN

Posts with mentions or reviews of PDN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-drug-pair-scoring and PDN you can also consider the following projects:

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

diffnet - Graph Neural Network based Social Recommendation Model. SIGIR2019.

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

GNNPapers - Must-read papers on graph neural networks (GNN)

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

radium-formula-parser

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.