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
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 3 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆59Updated 6 years ago
- A Generic Tensor-Network library that is designed for quantum simulation, base on the pytorch☆60Updated 6 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Tensor Train decomposition on TensorFlow☆226Updated 4 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- ☆28Updated 5 years ago
- ☆47Updated 6 years ago
- Mini-batch multiplicative updates for beta-NMF☆15Updated 8 years ago
- Unitary Evolution Recurrent Neural Network☆26Updated 3 years ago
- Orkis-Research / Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-RecognitionThis is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all th…☆66Updated 6 years ago
- Differentiable Dynamic Programming☆70Updated 4 years ago
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 6 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆172Updated 6 years ago
- NMF/NTF with Pytorch☆17Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 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
- Stochastic Deep Networks☆17Updated 6 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Profiling power consumption of a neuromorphic keyword spotter.☆22Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago