Alternatives and similar repositories for igmm:

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

• LCAS / RKN
  ☆47Updated 2 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆89Updated 3 years ago
• LeniLeGoff / CMM_Lib
  Incremental and Adaptative Gaussian Mixture Model Library is an implementation of a machine learning algorithms based on GMM. The algorit…
  ☆12Updated 4 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated last year
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆43Updated 10 years ago
• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆64Updated 4 years ago
• alexalex222 / Batch-Process-Soft-Sensor
  Gaussian process regression algorithms for nonlinear system state prediciton
  ☆13Updated 9 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆91Updated 3 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 5 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆21Updated 5 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• zhenxun-zhuang / SGDOL
  Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"
  ☆10Updated 2 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆58Updated last year
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆56Updated last year
• hughsalimbeni / DGPs_with_IWVI
  Deep Gaussian Processes with Importance-Weighted Variational Inference
  ☆38Updated 5 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 6 years ago
• wil-j-wil / unifying-prob-time-freq
  Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.
  ☆18Updated 5 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆61Updated last year
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆65Updated 2 months ago
• ljain2 / libsvm-openset
  ☆51Updated 10 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆39Updated last year
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆11Updated 5 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆75Updated 6 months ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 7 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• BatyaGG / Gaussian-Mixture-Models
  Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
  ☆62Updated 6 years ago
• gditzler / IncrementalLearning
  Implementation of incremental learning algorithms for Matlab.
  ☆17Updated 10 years ago