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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Repo for the Deep Reinforcement Learning Nanodegree program
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Transportation Networks for Research
Hands-On Reinforcement Learning with Python, published by Packt
Discover augmentation strategies tailored for your dataset
PyLayers is a Python platform for Site Specific Radio Propagation Simulation for Evaluating Indoor Localization algorithms using UWB radio signals including Human Indoor Mobility
“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Inte…
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
Summary repository for AI Summer 2024
This is the code for the paper "Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO"
ddpg with RIS in secure wireless communication
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Indoor navigation using deep Q reinforcement learning
Deep Q network-based power allocation for multi-cell massive MIMO cellular network.
Some simulations for wireless RL
DQN, DDQN, and Policy Gradient Algorithm-Based Antenna Selection Schemes in MIMO Systems.
Reinforcement Learning Specialization on Coursera
This repository has RL algorithms implemented using python
Implement and evaluate the location system in wireless networks using machine learning methods in a indoor environment
Implementations of Federated Learning - Machine Learning on Decentralized Data.
Indoor Localisation using Machine Learning on Channel State Information
NOMA FYP essential MATLAB codes
Implementation of neural network for estimation of treatment effects
Qlearning and Sarsa implementions in python
