rand0musername / urnnLinks
Unitary Evolution Recurrent Neural Network
☆25Updated 3 years ago
Alternatives and similar repositories for urnn
Users that are interested in urnn are comparing it to the libraries listed below
Sorting:
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Code for "Learning Unitary Operators with Help From u(n)", AAAI-17. (https://arxiv.org/abs/1607.04903)☆17Updated 8 years ago
- ☆53Updated 2 years ago
- complex tensor plugin for pytorch (deprecated)☆47Updated 6 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Probabilistic Programming eXecution protocol (PPX)☆76Updated 3 years ago
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- ☆18Updated 3 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Updated 5 years ago
- ☆16Updated 5 months ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 11 years ago
- Tensor Train decomposition on TensorFlow☆227Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆106Updated 5 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆18Updated 7 years ago
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- ☆59Updated 6 years ago
- ☆80Updated 4 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆20Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Amortized Monte Carlo Integration☆15Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago