Alternatives and similar repositories for DBN:

Users that are interested in DBN are comparing it to the libraries listed below

• matrachma / Deep-Belief-Network-for-Regression
  DBN for Regression Problem using Theano, NumPy, and Scikit-learn
  ☆24Updated 8 years ago
• douglasdoudou / dbn_prediction
  from https://github.com/fuzimaoxinan/Tensorflow-Deep-Neural-Networks
  ☆8Updated 6 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆102Updated 6 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆79Updated 8 years ago
• Legendnic / GA-CNN
  In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network
  ☆42Updated 6 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 6 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆60Updated 2 years ago
• anxinguo / Machine-Learning
  BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR
  ☆20Updated 7 years ago
• HongminWu / time_series_anomaly_detection_classification_clustering
  the state-of-the-art repo for time_series_anomaly_detection_classification_clustering
  ☆15Updated 6 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆92Updated 3 years ago
• albertbup / deep-belief-network
  A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
  ☆484Updated last year
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 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
• 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
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆35Updated 6 years ago
• ipazc / lstm_autoencoder
  LSTM Autoencoder that works with variable timesteps
  ☆15Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆75Updated 5 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆116Updated 6 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆55Updated 5 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆41Updated 5 years ago
• ivanlen / time_series_classification_and_ensembles
  some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles
  ☆26Updated 4 years ago
• vivekam101 / PSO-SVM
  demonstrate pso-svm in python
  ☆14Updated 5 years ago
• RamanSinghca / PSO-Based-SVR
  PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.
  ☆42Updated 8 years ago
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 5 years ago
• MaximoDouglas / systemic-blood-pressure-regression
  Regression with SVR, CNN and CNN-LSTM
  ☆13Updated 4 years ago
• DeepmindHub / python-
  ☆39Updated 7 years ago
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆79Updated 7 years ago