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annotate-equations

LaTeX package and annotated examples for annotating equations using TikZ.

base_station_topology_for_cellular_networks

To generate the base station topology for cellular networks, in which hexagon is used to represent cell boundary. The generated topology shows the locations of base stations, given the hexagonal cell distribution.

compressive-estimation-of-near-field-channels-for-ultra-massive-mimo-wideband-thz-systems

These codes simulate the following paper: Simon Tarboush, Anum Ali, Tareq Y. Al-Naffouri, "Compressive Estimation of Near Field Channels for Ultra Massive-MIMO Wideband THz Systems", ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

data-analysis-python

Data Analysis with Python

deep_unfolding_thz_ce

dl_rsma

This is the code for the paper "Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO"

drl_for_ddbc

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

drl_ris_tutorial

environment_aware_communications

Towards environment-aware 6G communications via channel knowledge map

fl-nilm

The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.

fpn-oamp-thz-channel-estimation

Pytorch codes for "An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation" in IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2023.

i_function

This code is written in MATLAB to Evaluate the I function (Generalized Fox F-function)

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ivy

The Unified Machine Learning Framework

joyful-pandas

pandas中文教程

learn-quantum-machine-learning

Learn Quantum Machine Learning using pennylane framework

lunar-lander

Implementation of deep reinforcement learning algorithms for training an agent to play the game lunar lander

machine-learning-andrew-ng

Full Notes of Andrew Ng's Coursera Machine Learning.

matd3

Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships

multi-ddpg-with-parameter-noise

New reinforcement algorithm base on DDPG

nilm_chain2

nilm for chain2 data

ntupresentationbeamer

A Beamer template that follows NTU's style for presentation.

online-dictionary-learning-for-sparse-coding

Implementation of the paper "Online dictionary learning for sparse coding" (Mairal et al).

pandas_exercises

Practice your pandas skills!

pennylane_quantum-variational-circuit_rl

This project implements quantum variational circuit for reinforcement learning in Pennylane.

qc-complexvaluedrl

The code for "Variational quantum circuit based reinforcement learning for POMDP and experimental implementation".

qml-beyond-kernel

qml-library

A curated list of papers, blogs, and research publications in the field of Quantum Machine Learning

qrl

GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project

qrl-dqn-gym

PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)