rodrigosetti / dbn-cuda
GPU accelerated Deep Belief Network
☆46Updated 9 years ago
Alternatives and similar repositories for dbn-cuda:
Users that are interested in dbn-cuda are comparing it to the libraries listed below
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆63Updated 7 years ago
- Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM☆55Updated 9 years ago
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- Code for Kaggle EEG Detection competition☆70Updated 9 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- ConvLSTMCell for TensorFlow☆59Updated 7 years ago
- RecNet - Recurrent Neural Network Framework☆73Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data☆28Updated 10 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 …☆52Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Common Code Workflow tutorial on Theano☆60Updated 8 years ago
- Classification of data using Restricted Boltzmann Machines and Deep Learning Networks☆19Updated 11 years ago
- ☆29Updated 7 years ago
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 11 years ago
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆91Updated 9 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Residual network block in Keras☆72Updated 8 years ago
- Generative Adversarial Networks with Keras☆156Updated 4 years ago
- Reslab Theano tutorial (10 February 2015)☆30Updated 10 years ago
- LSTM Python library using Cython☆37Updated 10 years ago
- ☆86Updated 11 years ago
- Applying transfer learning to a custom dataset by retraining Inception's final layer☆93Updated 7 years ago
- ☆73Updated 13 years ago
- This toolbox is support material for the book on CNN (http://www.convolution.network).☆41Updated 7 years ago
- Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet☆44Updated 10 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago