albertbup / deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
☆484Updated last year
Alternatives and similar repositories for deep-belief-network:
Users that are interested in deep-belief-network are comparing it to the libraries listed below
- Simple code tutorial for deep belief network (DBN)☆46Updated 4 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 8 years ago
- DBN for Regression Problem using Theano, NumPy, and Scikit-learn☆24Updated 8 years ago
- This repository has implementation and tutorial for Deep Belief Network☆102Updated 6 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated this week
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 7 years ago
- Extreme Learning Machine implementation in Python☆546Updated 3 years ago
- TensorFlow LSTM-autoencoder implementation☆194Updated 7 years ago
- Keras implementation of LSTM Variational Autoencoder☆228Updated 5 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆92Updated 3 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆154Updated 5 years ago
- Implementation of simple autoencoders networks with Keras☆241Updated 4 years ago
- Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.☆83Updated 4 years ago
- TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)☆135Updated 4 years ago
- Echo State Networks☆40Updated 9 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆234Updated 7 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆84Updated 5 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Language Model GRU with Python and Theano☆498Updated 9 years ago
- Time series prediction using dilated causal convolutional neural nets (temporal CNN)☆236Updated 2 years ago
- Autoencoders in Keras☆127Updated 6 years ago
- Restricted Boltzmann Machines in Python.☆960Updated 4 years ago
- Text autoencoder with LSTMs☆262Updated 5 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆498Updated 4 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆501Updated 3 years ago
- Echo State Networks in Python☆304Updated 4 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆193Updated last year
- Old project involving CDBN that code is provided here. IT IS NOT a clean version.☆26Updated 6 years ago
- Fully Convlutional Neural Networks for state-of-the-art time series classification☆684Updated 5 years ago