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1. Deep-Learning-for-the-Physical-Layer Deep-Learning-for-the-Physical-LayerPublic

   Forked from musicbeer/Deep-Learning-for-the-Physical-Layer

   PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

   Python 2

2. AutoEncoder-Based-Communication-System AutoEncoder-Based-Communication-SystemPublic

   Forked from immortal3/AutoEncoder-Based-Communication-System

   Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8…

   Jupyter Notebook 1 2

3. radio-transformer-networks radio-transformer-networksPublic

   Forked from gram-ai/radio-transformer-networks

   A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".

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4. DL-ChannelDecoding DL-ChannelDecodingPublic

   Forked from gruberto/DL-ChannelDecoding

   On Deep Learning-based Channel Decoding

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5. models modelsPublic

   Forked from Sarasra/models

   Models and examples built with TensorFlow

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6. CapsNet-Keras CapsNet-KerasPublic

   Forked from XifengGuo/CapsNet-Keras

   A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

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