Implementation of Complex Valued Neural Networks in Pytorch 🧠

keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.

Pytorch layers for Complex Valued Neural Networks

Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"

Core code for simulations used for most of my publications

Official code repository for NeurIPS 2024 paper "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery"

Official code repository for NeurIPS 2023 paper "Contrastive Training of Complex-Valued Autoencoders for Object Discovery"

Complex-valued neural network implementation in TensorFlow.

Tracking Informative Multivariate Brain Rhythms Efficiently

Levenberg-Marquardt optimization code for complex split-activation feedforward neural networks with skip connections

Newton–Puiseux for CVNNs: complete toolkit for uncertainty mining, confidence calibration and local symbolic-numeric analysis on ECG (MIT-BIH) and wireless IQ data (RadioML 2016.10A).

Library for implementation of complex value neural networks.

Reproducible pipeline for silent-failure auditing in ECG accept-sets (MIT-BIH) with Newton–Puiseux onset scoring

applying the TIMBRE neural network architecture to neuropixel probe data on bats to verify whether LFP recordings encode position!