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

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nidhaloff / igel

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provide support for other input format

1

nidhaloff commented Oct 6, 2020

Description

In the future, igel should support multiple dataset format other than csv. Maybe add support for excel, json and sql tables.

It would be great if users have the flexibility of providing their datasets in other formats and not only csv.

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Epic contribution easy enhancement

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Add docker support

2

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provide a copy button for code examples in the readme/docs

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benedekrozemberczki / karateclub

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

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 Oct 11, 2020
• Python

benedekrozemberczki / CapsGNN

Star 924

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 Oct 4, 2020
• Python

HunterMcGushion / hyperparameter_hunter

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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 345

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 Sep 24, 2020
• Python

benedekrozemberczki / SimGNN

Star 305

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 Sep 24, 2020
• Python

benedekrozemberczki / AttentionWalk

Star 255

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 Sep 24, 2020
• Python

benedekrozemberczki / GAM

Star 214

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 Sep 24, 2020
• Python

Created by David Cournapeau

Released January 05, 2010

Latest release 2 months ago

Repository

scikit-learn/scikit-learn

Website

scikit-learn.org

Wikipedia

Wikipedia

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