omimo / xRBMLinks
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
☆55Updated 7 years ago
Alternatives and similar repositories for xRBM
Users that are interested in xRBM are comparing it to the libraries listed below
Sorting:
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 8 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- RecNet - Recurrent Neural Network Framework☆73Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Exponential Machines implementation☆42Updated 6 months ago
- Deep Learning over PyTorch☆61Updated 8 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆144Updated 5 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
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- GPU accelerated Deep Belief Network☆46Updated 10 years ago
- DrMAD☆107Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago