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Name: Jck
Type: User
Name: Jck
Type: User
A basic AES implementation to perform the basic operations in Rijndael's finite field, using the extended Euclidean algorithm.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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.
Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)
Bandit algorithms simulations for online learning
Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
Bayesian Link Adaptation under a BLER Target
Digital Communication with Python
This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK
Course Files for Complete Python 3 Bootcamp Course on Udemy
A simple pure-python framework for dealing with the contextual multi-armed bandit problems
Coursera Machine Learning By Prof. Andrew Ng
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.
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.
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
Hands-on Deep Reinforcement Learning, published by Packt
Deep Learning Tutorial notes and code. See the wiki for more info.
Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE Transactions on Communications
Solve finite Markov Decision Process models.
Building a foundation for deep learning with mathematics and neuroscience
GNU Radio – the Free and Open Software Radio Ecosystem
Out-of-tree module for GNU Radio containing a complete OFDM implementation including GUI for reasearch and teaching
A toolkit for developing and comparing reinforcement learning algorithms.
Hands-On Reinforcement Learning for Games, published by Packt
Hands-On Reinforcement Learning with Python, published by Packt
A minimalist environment for decision-making in autonomous driving
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.