Alternatives and similar repositories for shannon

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

• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆189Updated 3 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆237Updated 3 months ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• davidhallac / TVGL
  ☆55Updated 8 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆138Updated last year
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 7 months ago
• mims-harvard / scikit-fusion
  scikit-fusion: Data fusion via collective latent factor models
  ☆150Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 5 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• jamesrobertlloyd / gp-structure-search
  ☆241Updated 8 years ago
• choderalab / cpdetect
  Change Point detection
  ☆26Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 5 months ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 3 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 11 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆251Updated last year
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated 2 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆151Updated 6 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆52Updated 10 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• padilha / biclustlib
  A Python library of biclustering algorithms, evaluation measures and datasets.
  ☆55Updated 5 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 6 years ago
• ZZUTK / Delay_Embedding
  Delay embedding for time series modeling and classification
  ☆18Updated 8 years ago