Alternatives and similar repositories for gtda-challenge-2020

Users that are interested in gtda-challenge-2020 are comparing it to the libraries listed below

• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• md-experiments / picture_text
  Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
  ☆30Updated 9 months ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆63Updated 7 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• merylldindin / topologyx
  Topological Data Analysis Routines
  ☆147Updated this week
• cair / pyTsetlinMachineParallel
  Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…
  ☆43Updated 2 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆123Updated last week
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆100Updated 2 years ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 4 years ago
• chen42 / RatsPub
  Using PubMed to find out how a gene contributes to addiction.
  ☆20Updated 2 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated last month
• capitalone / global-attribution-mapping
  GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
  ☆34Updated this week
• giotto-ai / tutorial_mapper
  ☆13Updated 5 years ago
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆43Updated 5 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated last year
• manitadayon / tsBNgen
  ☆60Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated last week
• JSybrandt / agatha
  AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
  ☆59Updated 5 years ago
• giotto-ai / giotto-time
  Time series analysis suite
  ☆100Updated 2 years ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆159Updated 9 months ago
• NicholasMamo / multiplex-plot
  Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualiz…
  ☆113Updated 2 years ago
• neuml / cord19q
  COVID-19 Open Research Dataset (CORD-19) Analysis
  ☆57Updated 2 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated 2 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago