Alternatives and similar repositories for gmm-mml:

Users that are interested in gmm-mml are comparing it to the libraries listed below

• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 6 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆37Updated 3 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆60Updated 7 years ago
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆106Updated 4 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆73Updated 3 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆68Updated 5 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• shz9 / csc2541-ml-project
  Modeling Uncertainty in RNNs for Time Series Forecasting
  ☆14Updated 7 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆76Updated last year
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• predict-idlab / GENDIS
  Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all …
  ☆105Updated last year
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 5 years ago
• epfl-lasa / changepoint-detection
  Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
  ☆43Updated 7 years ago
• daisuke-motoki / change_point_detector
  Change point detection by using density ratio estimation
  ☆19Updated 7 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 5 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆131Updated last year
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 5 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆98Updated 2 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 7 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated last year
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆91Updated 6 months ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 6 years ago
• jkfitzsimons / IPyNotebook_MachineLearning
  This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
  ☆34Updated 9 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆130Updated 5 years ago