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"
Complex-valued neural network implementation in TensorFlow.
Pytorch layers for Complex Valued Neural Networks
Levenberg-Marquardt optimization code for complex split-activation feedforward neural networks with skip connections
Tracking Informative Multivariate Brain Rhythms Efficiently
applying the TIMBRE neural network architecture to neuropixel probe data on bats to verify whether LFP recordings encode position!
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