scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

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benedekrozemberczki / CapsGNN

Star 897

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

• Updated May 31, 2020
• Python

benedekrozemberczki / karateclub

Star 872

A general purpose community detection and network embedding library for research built on NetworkX.

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

• Updated Aug 2, 2020
• Python

HunterMcGushion / hyperparameter_hunter

Star 609

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

python data-science machine-learning ai deep-learning neural-network optimization scikit-learn sklearn keras ml artificial-intelligence xgboost hyperparameter-optimization experimentation lightgbm feature-engineering hyperparameter-tuning catboost rgf

• Updated Jul 19, 2020
• Python

benedekrozemberczki / GraphWaveletNeuralNetwork

Star 312

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolutional-neural-networks representation-learning gcn iclr graph-representation node2vec graph-convolutional-network graphsage graph-neural-networks graph-wavelet graph-convolution gwnn pygsp

• Updated May 31, 2020
• Python

benedekrozemberczki / SimGNN

Star 283

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

machine-learning deep-learning neural-network tensorflow sklearn pytorch attention-mechanism network-embedding wsdm ged gcn graph-embedding graph-classification tensor-network graph-similarity graph-convolution graph-attention gnn graph-edit-distance simgnn

• Updated May 31, 2020
• Python

benedekrozemberczki / AttentionWalk

Star 251

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

machine-learning deep-learning tensorflow word2vec sklearn torch pytorch deepwalk matrix-factorization attention nips node2vec graph-neural-networks graph-representation-learning structural-attention implicit-factorization walklet graph-attention neurips neurips-2018

• Updated May 31, 2020
• Python

benedekrozemberczki / GAM

Star 210

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

machine-learning reinforcement-learning sklearn deep-reinforcement-learning pytorch deepwalk neural-networks attention transfer-learning gcn node2vec graph-classification graphsage graph2vec structural-attention graph-convolution graph-attention reinforcement-agent

• Updated May 31, 2020
• Python

benedekrozemberczki / DANMF

Star 149

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

data-science machine-learning deep-learning clustering word2vec sklearn community-detection deepwalk autoencoder dimensionality-reduction unsupervised-learning cikm embedding nmf coordinate-descent node2vec node-embedding gemsec mnmf danmf

• Updated May 31, 2020
• Python

Created by David Cournapeau

Released January 05, 2010

Latest release 3 months ago

Repository

scikit-learn/scikit-learn

Website

scikit-learn.org

Wikipedia

Wikipedia

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