Alternatives and similar repositories for spectral_clustering

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

• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆65Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• Jianbo-Lab / CCM
  ☆74Updated 7 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 5 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆60Updated last week
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 7 years ago
• gagolews / clustering-benchmarks
  A framework for benchmarking clustering algorithms
  ☆44Updated 5 months ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆102Updated last year
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆103Updated last year
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• PythonCharmers / maxentropy
  Maximum entropy and minimum divergence models in Python
  ☆44Updated 3 weeks ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆35Updated 8 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆26Updated 7 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 7 months ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆79Updated 4 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago
• MathiasKraus / MarketBasket
  Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
  ☆19Updated 6 years ago