Alternatives and similar repositories for sgt

Users that are interested in sgt are comparing it to the libraries listed below

• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆242Updated last week
• vermaMachineLearning / keras-deep-graph-learning
  Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
  ☆103Updated 3 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆248Updated last year
• lschmiddey / Autoencoder
  Autoencoder on tabular data
  ☆15Updated 4 years ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆177Updated last year
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 7 months ago
• zjost / blog_code
  A repo for holding example code
  ☆158Updated 6 months ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆189Updated 6 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆231Updated 4 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated 4 months ago
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆49Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated last week
• nd7141 / bgnn
  ☆173Updated last year
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆100Updated 2 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• flemmerich / pysubgroup
  ☆70Updated last month
• AlliedToasters / dfencoder
  ☆131Updated 3 years ago
• krishnanlab / PecanPy
  A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec
  ☆172Updated 2 weeks ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• EmjayAhn / SuperTML-pytorch
  A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
  ☆29Updated 6 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆70Updated 7 months ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆48Updated 5 years ago