jck-1096 Goto Github PK

aes

A basic AES implementation to perform the basic operations in Rijndael's finite field, using the extended Euclidean algorithm.

ai_project_4

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algossim

This repository aims at learning most popular MAB and CMAB algorithms and watch how they run. It is interesting for those wishing to start learning these topics.

bandit-and-reinforcement-learning

Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)

bandit_simulations

Bandit algorithms simulations for online learning

bayesian-statistics

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

bayesla-link-adaptation

Bayesian Link Adaptation under a BLER Target

commpy

Digital Communication with Python

communication_modulation

This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

contextual_mab

A simple pure-python framework for dealing with the contextual multi-armed bandit problems

courseramachinelearning

Coursera Machine Learning By Prof. Andrew Ng

decentralized_qlearning_resource_allocation_in_wns

deep-reinforcement-learning-algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-reinforcement-learning-explained

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

drl_for_ddbc

Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE Transactions on Communications

elgrapho

finite_mdp

Solve finite Markov Decision Process models.

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

gnuradio

GNU Radio – the Free and Open Software Radio Ecosystem

gr-ofdm

Out-of-tree module for GNU Radio containing a complete OFDM implementation including GUI for reasearch and teaching

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hands-on-reinforcement-learning-for-games

Hands-On Reinforcement Learning for Games, published by Packt

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

highway-env

A minimalist environment for decision-making in autonomous driving