Implementation of Complex Valued Neural Networks in Pytorch 🧠
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Updated
Jul 25, 2024 - Jupyter Notebook
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.
Core code for simulations used for most of my publications
Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"
Official code repository for NeurIPS 2024 paper "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery"
Pytorch layers for Complex Valued Neural Networks
Complex-valued neural network implementation in TensorFlow.
Official code repository for NeurIPS 2023 paper "Contrastive Training of Complex-Valued Autoencoders for Object Discovery"
Tracking Informative Multivariate Brain Rhythms Efficiently
Levenberg-Marquardt optimization code for complex split-activation feedforward neural networks with skip connections
Library for implementation of complex value neural networks.
applying the TIMBRE neural network architecture to neuropixel probe data on bats to verify whether LFP recordings encode position!
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