torchdrug VS DeepRobust

Compare torchdrug vs DeepRobust and see what are their differences.

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torchdrug DeepRobust
3 1
1,392 940
2.1% -
5.7 5.5
6 months ago 4 days ago
Python Python
Apache License 2.0 MIT License
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.

torchdrug

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

DeepRobust

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

What are some alternatives?

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

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

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

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

ccat - Cisco Config Analysis Tool

RecBole - A unified, comprehensive and efficient recommendation library

text_gcn - Graph Convolutional Networks for Text Classification. AAAI 2019

chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

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

pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.