Ali-Ai's repositories
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/8054694/
autoencoder-for-the-Physical-Layer
Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
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.
deep-opt-auctions
Implementation of Optimal Auctions through Deep Learning
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
DeepMIMO-codes
DeepMIMO dataset and codes for mmWave and massive MIMO applications
DynamicMultiChannelRL
Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"
keras-rl
Deep Reinforcement Learning for Keras.
LDAMP_based-Channel-estimation
This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.
myGitTst
This is my first test repository on Git :).
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
py-radio-autoencoder
Python implementation of autoencoder based radio system
Python_CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.