Alternatives and similar repositories for Delay_Embedding

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

• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 11 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 5 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 8 years ago
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 8 years ago
• mollenhauerm / keras-temporal-autoencoder
  Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.
  ☆32Updated 7 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆21Updated 6 years ago
• mijungi / lllvm
  ☆17Updated 9 years ago
• radovicmiloskg / TMRMR
  Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
  ☆11Updated 7 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 11 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 6 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 10 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆60Updated 5 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆33Updated 9 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 7 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆144Updated 7 years ago