chemicalx VS torchdrug

Compare chemicalx vs torchdrug and see what are their differences.

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chemicalx torchdrug
5 3
700 1,394
0.7% 0.9%
3.1 5.7
8 months ago 6 months ago
Python Python
Apache License 2.0 Apache License 2.0
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.

chemicalx

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

torchdrug

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

What are some alternatives?

When comparing chemicalx and torchdrug you can also consider the following projects:

PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs

deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

DeepRobust - A pytorch adversarial library for attack and defense methods on images and graphs

GraphMixerNetworks - Official Implementation of Graph Mixer Networks

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

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

OpenChem - OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

RecBole - A unified, comprehensive and efficient recommendation library

bittensor - Internet-scale Neural Networks

SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)