Alternatives and similar repositories for Hierarchical-ELM:

Users that are interested in Hierarchical-ELM are comparing it to the libraries listed below

• ispamm / Lynx-Toolbox
  Lynx Matlab Toolbox
  ☆23Updated 8 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆30Updated 9 years ago
• wentaozhu / Hierarchical-ELM-Network
  IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning
  ☆26Updated 6 years ago
• tsterbak / kernel_eca
  Scikit-learn compatible Kernel Entropy Component Analysis in Python
  ☆13Updated 9 years ago
• rakeshvar / stacked_denoising_auto_encoder
  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.
  ☆14Updated 9 years ago
• ZZUTK / Delay_Embedding
  Delay embedding for time series modeling and classification
  ☆16Updated 7 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆54Updated 8 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆94Updated 3 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• sato9hara / LassoVariants
  Python codes for Lasso feature selection
  ☆13Updated 5 years ago
• Craigacp / FEAST
  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
  ☆72Updated 2 years ago
• AntoineAugusti / bagging-boosting-random-forests
  Bagging, boosting and random forests in Matlab
  ☆24Updated 9 years ago
• wqren / DBNtoolbox
  deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine …
  ☆18Updated 12 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• hiranumn / DLmodels
  Personal experiments and implementation examples of deep learning papers.
  ☆11Updated 7 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 7 years ago
• viggin / yan-prtools
  Yet ANother pattern recognition matlab toolbox
  ☆36Updated 8 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated 9 months ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆30Updated 7 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• abietti / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 10 years ago
• SuperXiang / High-Dimensional-Feature-Selection-of-Medical-Data
  Feature Selection by Optimized LASSO algorithm
  ☆16Updated 7 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago