jingli9111 / EUNN-tensorflowLinks
Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
☆73Updated 6 years ago
Alternatives and similar repositories for EUNN-tensorflow
Users that are interested in EUNN-tensorflow are comparing it to the libraries listed below
Sorting:
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- unitary matrix for hidden to hidden layer☆76Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Code for "Learning Unitary Operators with Help From u(n)", AAAI-17. (https://arxiv.org/abs/1607.04903)☆17Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 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
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- ☆38Updated 7 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆34Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 7 years ago
- Rotational Unit of Memory☆34Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Deep variational inference library for Keras☆15Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆172Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago