Alternatives and similar repositories for ELM-pytorch

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

• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 7 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆135Updated 2 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 7 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆155Updated 6 years ago
• iwyoo / OSELM-tensorflow
  Online Sequential Extreme Learning Machine with TensorFlow
  ☆33Updated 9 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
  ☆44Updated 9 years ago
• mhaghighat / dcaFuse
  Feature fusion using Discriminant Correlation Analysis (DCA)
  ☆65Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆29Updated 10 years ago
• naderAsadi / ELM-Pytorch
  Pytorch implementation of Extreme Learning Machine
  ☆21Updated 5 years ago
• Exp-Time-Series-Tools / Ms-CNN
  Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)
  ☆25Updated 6 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆126Updated 3 years ago
• haidark / WaveletDeconv
  Neural network layer code to implement wavelet deconvolutions
  ☆35Updated 6 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆94Updated 4 years ago
• nealjean / coreg
  Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
  ☆61Updated 6 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆127Updated 5 years ago
• ssamot / DANN-keras
  A simple implementation of domain adversarial training with GAN loss in Keras
  ☆58Updated 7 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• otenim / TensorFlow-OS-ELM
  A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
  ☆57Updated 6 years ago
• schesho / Scattering-Conv-Network
  Implementation of an invariant scattering convolution network
  ☆15Updated 8 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated last month
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆60Updated 8 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 7 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• mhaghighat / ccaFuse
  Feature fusion using Canonical Correlation Analysis (CCA)
  ☆51Updated 5 years ago
• awerries / online-svr
  Implementation of Accurate Online Support Vector Regression in Python.
  ☆85Updated 6 years ago
• Wensi-Tang / OS-CNN
  ☆142Updated 4 months ago
• maka89 / Deep-Kernel-GP
  Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
  ☆95Updated 8 years ago
• geekfeiw / Multi-Scale-1D-ResNet
  pytorch code of multi scale 1d resnet, we hope it will help your research
  ☆224Updated 4 years ago