matrachma / Deep-Belief-Network-for-Regression

Related projects ⓘ

Alternatives and complementary repositories for Deep-Belief-Network-for-Regression

• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆79Updated 8 years ago
• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆137Updated 2 years ago
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆35Updated 5 years ago
• douglasdoudou / dbn_prediction
  from https://github.com/fuzimaoxinan/Tensorflow-Deep-Neural-Networks
  ☆8Updated 6 years ago
• anxinguo / Machine-Learning
  BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR
  ☆19Updated 7 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
• aspurdy / dbn
  MATLAB code for training deep belief networks
  ☆48Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆45Updated 3 years ago
• Yonezcy / naive_nn
  The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).
  ☆13Updated 6 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 5 years ago
• wantinghuang / SKlearn-kmeans-DTW-clustering-user-grouping
  Group users by temporal power consumption using k-means algorithm with adjusted measurement of distance, dynamic time warping(DTW)
  ☆23Updated 6 years ago
• hangtongluo / DBN-ELM
  结合DBN和ELM的改进DBN-ELM模型
  ☆22Updated 6 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆38Updated 4 years ago
• MaximoDouglas / systemic-blood-pressure-regression
  Regression with SVR, CNN and CNN-LSTM
  ☆13Updated 4 years ago
• lu-zhao / EMD_LSTM
  ☆31Updated 5 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• fish-kong / -rnn-each-types-of-rnn-for-regression
  利用各种循环网络进行回归拟合，包括rnn，lstm，nlstm，bilstm
  ☆22Updated 4 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆139Updated 5 years ago
• PatientEz / Multidimensional-time-series-prediction-
  Multidimensional Time Series Prediction by using LSTM
  ☆55Updated 5 years ago
• zhaoyu611 / DeepLearningTutorialForChinese
  This project is the same with deeplearning.net, but the comment is written for chinese
  ☆23Updated 7 years ago
• labcisne / ELMToolbox
  Matlab implementation of Extreme Learning Machine and variants
  ☆31Updated 6 years ago
• HaishuaiWang / Semi-Supervised-Shapelets-Learning
  Matlab codes for Semi-Supervised Shapelets Learning
  ☆17Updated 7 years ago
• SMU-Rainflow / PM2.5_predict
  XGB、LSTM、KNNR、SVR预测
  ☆12Updated 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
  ☆41Updated 8 years ago
• xadrianzetx / temporal-conv-net-keras
  TCN architecture for time series
  ☆23Updated 6 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆202Updated 6 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆118Updated 4 years ago
• zzdzzdzzdzzd / SWLSTM_GPR
  A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…
  ☆3Updated 5 years ago
• albertbup / deep-belief-network
  A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
  ☆481Updated last year