JSChalmers's repositories

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claude

End-to-end learning of optical communication systems

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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vae-equalizer

This repo provides an implementation of a Variational Autoencoder (VAE) based equalizer. This includes a simulation environment with an AWGN channel and a linear optical dual-polaization channel. Additionally, state-of-the-art equalizers are implemented as reference.

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VAE_sandbox

Play time!

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VQ-VAE-based-equalizer

Open source code for VQ-VAE-based blind channel equalizer

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