PDN VS best-of-ml-python

Compare PDN vs best-of-ml-python and see what are their differences.

PDN

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21) (by benedekrozemberczki)
Gcn Gnn Deepwalk Multiplex Graph2vec Pytorch graph-neural-network Deep Learning pathfinder message-passing neural-message-passing cheminformatics molecules graph-classification node-classification network-science Data Science Transformer Bert gpt-3
Source Code
arxiv.org
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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
Source Code
ml-python.best-of.org
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PDN best-of-ml-python
1 16
57 15,302
- 1.3%
0.0 7.9
over 1 year ago 7 days ago
Python Python
GNU General Public License v3.0 only Creative Commons Attribution Share Alike 4.0
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.

PDN

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

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing PDN and best-of-ml-python you can also consider the following projects:

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

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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]

dtale - Visualizer for pandas data structures

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

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

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

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

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

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

PDN vs awesome-graph-classification best-of-ml-python vs Awesome-WAF PDN vs gnn best-of-ml-python vs ktrain PDN vs pytorch-lightning best-of-ml-python vs dtale PDN vs gnn-lspe best-of-ml-python vs ffcv PDN vs karateclub best-of-ml-python vs awesome-python PDN vs pytorch_geometric_temporal best-of-ml-python vs kmodes