Implementation related to the Deep Complex Networks
Modeling complex networks: An implementation based on Python+NetworkX
Framework for building complex recurrent neural networks with Keras
A simple library for creating complex neural networks
Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for compl...
A high-level toolbox for using complex valued neural networks in PyTorch
Simulate complex networks with different models(small world, scale-free, random), and compare the robustness (under random failures) of them.
Learning to query complex networks
A tool to visualize complex networks in LaTeX
Unified Complex Network and Recurrence Analysis Toolbox
Network Science, Complex Networks
Complex-valued Convolutional Neural Networks
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
[Not Official] Implementation Deep Comple Networks and Plug-in module (e.g. Neural Preprocessing Layer, ICLR 2018)
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
WebGL setup for rendering multi-pass shader networks, optimized for complex texture/image processing
Complex Analysis: A Visual and Interactive Introduction
Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (NeurIPS) 2018.