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
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
Official code repository for NeurIPS 2024 paper "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery"
applying the TIMBRE neural network architecture to neuropixel probe data on bats to verify whether LFP recordings encode position!
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