Roger-luo / pytorch-complexLinks
complex tensor plugin for pytorch (deprecated)
☆47Updated 6 years ago
Alternatives and similar repositories for pytorch-complex
Users that are interested in pytorch-complex are comparing it to the libraries listed below
Sorting:
- Unofficial complex tensor and scalar support for Pytorch☆80Updated 2 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- A Generic Tensor-Network library that is designed for quantum simulation, base on the pytorch☆60Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 4 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Tensor Train decomposition on TensorFlow☆226Updated 4 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Unitary Evolution Recurrent Neural Network☆26Updated 3 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- ☆16Updated 4 months ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆172Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- ☆29Updated 5 years ago
- ☆47Updated 6 years ago
- Differentiable Dynamic Programming☆70Updated 5 years ago
- Stochastic Deep Networks☆17Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- code for experiments in Grosse and Salakhutdinov, 2015.☆12Updated 9 years ago
- RBM in Pytorch☆58Updated 8 years ago
- Mini-batch multiplicative updates for beta-NMF☆15Updated 8 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 6 years ago