echen / restricted-boltzmann-machinesLinks
Restricted Boltzmann Machines in Python.
☆968Updated 5 years ago
Alternatives and similar repositories for restricted-boltzmann-machines
Users that are interested in restricted-boltzmann-machines are comparing it to the libraries listed below
Sorting:
- Implementation of some deep learning algorithms.☆896Updated 11 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆514Updated 11 years ago
- Ready to use implementations of various Deep Learning algorithms using TensorFlow.☆961Updated 8 years ago
- Deep Learning Resources and Tutorials using Keras and Lasagne☆427Updated 5 years ago
- Language Model GRU with Python and Theano☆501Updated 9 years ago
- Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano☆899Updated 2 years ago
- A tensorflow implementation of an HMM layer☆284Updated 7 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆695Updated 11 years ago
- Exercises for my tutorials on Theano☆686Updated 9 years ago
- Framework for building complex recurrent neural networks with Keras☆765Updated 2 years ago
- Practical Examples for RNNs in Tensorflow☆482Updated 9 years ago
- ☆680Updated 7 years ago
- Tensorflow tutorial of building different dynamic recurrent neural network☆500Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- Demonstration of recurrent neural network implemented with Theano☆377Updated 8 years ago
- Boltzmann Machines in TensorFlow with examples☆849Updated 3 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,395Updated 8 years ago
- Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.☆84Updated 5 years ago
- Tutorials for deep learning☆253Updated 7 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Updated 8 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆955Updated 2 years ago
- TensorFlow tutorial on Generative Adversarial Models☆255Updated 7 years ago
- "Neural Turing Machine" in Tensorflow☆1,045Updated 8 years ago
- Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)☆567Updated 10 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆505Updated 3 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated 2 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- Q-learning for Keras☆392Updated 6 years ago
- A couple of simple GANs in Keras☆501Updated 7 years ago
- Blog☆340Updated last month