DeepRobust VS torchdrug

Compare DeepRobust vs torchdrug and see what are their differences.

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

DeepRobust

Posts with mentions or reviews of DeepRobust. 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 DeepRobust and torchdrug you can also consider the following projects:

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

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

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

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

ccat - Cisco Config Analysis Tool

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

text_gcn - Graph Convolutional Networks for Text Classification. AAAI 2019

RecBole - A unified, comprehensive and efficient recommendation library

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.