kaushiksk / RBM_DBN

Related projects ⓘ

Alternatives and complementary repositories for RBM_DBN

• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆79Updated 8 years ago
• douglasdoudou / dbn_prediction
  from https://github.com/fuzimaoxinan/Tensorflow-Deep-Neural-Networks
  ☆8Updated 6 years ago
• matrachma / Deep-Belief-Network-for-Regression
  DBN for Regression Problem using Theano, NumPy, and Scikit-learn
  ☆23Updated 8 years ago
• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆137Updated 2 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆96Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆75Updated 4 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• yyb1995 / dbn_traffic_prediction_keras
  A traffic flow prediction model based on Scikit and Keras. The model contains a DBN and a NN.
  ☆17Updated 5 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆121Updated last year
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆146Updated 9 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)
  ☆45Updated 3 years ago
• Seratna / TensorFlow-Convolutional-AutoEncoder
  This is an implementation of Convolutional AutoEncoder using only TensorFlow
  ☆118Updated 5 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆202Updated 6 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆28Updated 9 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆92Updated 3 years ago
• zhaoyu611 / DeepLearningTutorialForChinese
  This project is the same with deeplearning.net, but the comment is written for chinese
  ☆23Updated 7 years ago
• gaobb / FR-TSVM
  FR-TSVM
  ☆11Updated 7 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆30Updated 9 years ago
• awerries / online-svr
  Implementation of Accurate Online Support Vector Regression in Python.
  ☆80Updated 5 years ago
• hangtongluo / DBN-ELM
  结合DBN和ELM的改进DBN-ELM模型
  ☆22Updated 6 years ago
• otenim / TensorFlow-OS-ELM
  A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
  ☆54Updated 5 years ago
• dlmacedo / SVM-CNN
  A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…
  ☆70Updated last year
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆226Updated 5 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆37Updated 7 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆44Updated 6 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
  ☆41Updated 8 years ago
• zhuye88 / iForest
  iForest anomaly detection codes (Matlab Version)
  ☆63Updated 6 years ago