PDN VS nni

Compare PDN vs nni 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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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
Automl Deep Learning neural-architecture-search hyperparameter-optimization Distributed bayesian-optimization automated-machine-learning Machine Learning machine-learning-algorithms Data Science Tensorflow Pytorch neural-network deep-neural-network model-compression feature-engineering Nas Python hyperparameter-tuning Mlops
Source Code
nni.readthedocs.io
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PDN nni
1 5
57 13,708
- 0.8%
0.0 6.7
about 1 year ago about 1 month ago
Python Python
GNU General Public License v3.0 only 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.

PDN

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

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

When comparing PDN and nni you can also consider the following projects:

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

optuna - A hyperparameter optimization framework

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

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code

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

AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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]

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

PDN vs awesome-graph-classification nni vs optuna PDN vs gnn-lspe nni vs FLAML PDN vs best-of-ml-python nni vs autogluon PDN vs gnn nni vs AutoML PDN vs karateclub nni vs hyperopt PDN vs pytorch-lightning nni vs archai