rctn / DeepBoltzmannRNLinks
Deep Boltzmann Machines in R^N dimensions
☆11Updated 11 years ago
Alternatives and similar repositories for DeepBoltzmannRN
Users that are interested in DeepBoltzmannRN are comparing it to the libraries listed below
Sorting:
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Rotational Unit of Memory☆34Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆81Updated 7 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆34Updated 6 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- ☆38Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- imperative programming in TensorFlow☆18Updated 8 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- an active learning framework in python☆45Updated 9 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆12Updated 4 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- RBM in Pytorch☆58Updated 8 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆55Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago