Alternatives and similar repositories for deep-belief-network

Users that are interested in deep-belief-network 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
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆47Updated 4 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆102Updated 6 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆266Updated 5 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆227Updated 5 years ago
• datalogue / keras-attention
  Visualizing RNNs using the attention mechanism
  ☆750Updated 5 years ago
• CyberZHG / keras-self-attention
  Attention mechanism for processing sequential data that considers the context for each timestamp.
  ☆655Updated 3 years ago
• RobRomijnders / AE_ts
  Auto encoder for time series
  ☆437Updated 5 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆195Updated 3 months ago
• dclambert / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆546Updated 4 years ago
• alexarnimueller / som
  Self organizing Kohonen map in Python with periodic boundary conditions
  ☆135Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆83Updated 4 years ago
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆411Updated 7 years ago
• aqibsaeed / Genetic-CNN
  CNN architecture exploration using Genetic Algorithm
  ☆218Updated 3 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• bnsnapper / keras_bn_library
  keras extended library
  ☆30Updated 8 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆209Updated 5 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆693Updated 5 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated 2 years ago
• sevamoo / SOMPY
  A Python Library for Self Organizing Map (SOM)
  ☆546Updated 2 years ago
• spiglerg / Kohonen_SOM_Tensorflow
  Tensorflow implementation of the Kohonen Self Organizing Map
  ☆59Updated 5 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆313Updated 8 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆507Updated 4 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• broadinstitute / keras-resnet
  Keras package for deep residual networks
  ☆301Updated 2 years ago