matteo

Using autoencoders to optimize two-dimensional signal constellations for fiber optic communication systems

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Mattéo Delabre 3f2c6d18a3 Manually seed training for reproducibility		2019-12-16 01:50:03 -05:00
constellation	Only plot noise if noise_samples > 0	2019-12-16 01:49:35 -05:00
output	Save trained models and plot encoding	2019-12-13 15:17:57 -05:00
.gitignore	Add Gaussian channel model	2019-12-14 23:04:35 -05:00
README.md	Initial commit	2019-12-11 19:13:40 -05:00
plot.py	Share plotting code between plot.py and train.py	2019-12-15 20:05:20 -05:00
train.py	Manually seed training for reproducibility	2019-12-16 01:50:03 -05:00

constellation