Alternatives and similar repositories for ELM-pytorch:

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

• naderAsadi / ELM-Pytorch
  Pytorch implementation of Extreme Learning Machine
  ☆23Updated 4 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆93Updated 3 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆102Updated 6 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆155Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆76Updated 5 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆128Updated last year
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 5 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆99Updated 6 years ago
• iwyoo / OSELM-tensorflow
  Online Sequential Extreme Learning Machine with TensorFlow
  ☆32Updated 8 years ago
• ngailapdi / autoencoder
  Implementation of a convolutional auto-encoder in PyTorch
  ☆19Updated 6 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 4 years ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆26Updated 4 years ago
• Exp-Time-Series-Tools / Ms-CNN
  Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)
  ☆23Updated 5 years ago
• zheng-yuwei / Stacked_Autoencoder
  用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调
  ☆42Updated 8 years ago
• otenim / TensorFlow-OS-ELM
  A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
  ☆55Updated 5 years ago
• sasayabaku / cnn-elm
  CNN - ELM model for mri brain decoding
  ☆11Updated 6 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆46Updated 4 years ago
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• ssamot / DANN-keras
  A simple implementation of domain adversarial training with GAN loss in Keras
  ☆59Updated 6 years ago
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆58Updated 4 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• M73ACat / SGMD
  A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.
  ☆24Updated 2 years ago
• arashsaber / Deep-Convolutional-AutoEncoder
  This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
  ☆59Updated 7 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆27Updated 5 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆93Updated 4 years ago
• HamedAzami / mvMDE
  Multivariate Multiscale Dispersion Entropy of Biomedical Times Series
  ☆16Updated 2 years ago
• asogaard / wavenet-pytorch
  Learning optimal wavelet bases using a neural network approach in Pytorch
  ☆21Updated 7 years ago