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an-overview-of-signal-processing-techniques-for-ris-irs-aided-wireless-systems

An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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"

blog

Some notes on things I find interesting and important.

cartpoleautopid

cartpole is controlled by PID (GA optimization PID parameters)

cm0605

CM0605 Module Page

cm0605_kf6009_models

cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

code-offload

mobile cloud computing- SOFTMOD project

crewai-obsidian

cs4365-task-offload-framework

A framework for IoT devices to offload tasks to the cloud, resulting in efficient computation and decreased cloud costs.

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

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.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmimo-codes

DeepMIMO dataset and codes for mmWave and massive MIMO applications

demo

design-resource

A list of design resources.

differential-privacy-based-federated-learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

distributed-uav-rl-protocol

An implementation of a distributed protocol for cooperative sensing and sending operations of Unmanned Aerial Vehicles (UAVs). It is built on top of TensorFlow Agents and uses reinforcement learning techniques (e.g. Deep Q-Learning, Actor-Critic) to compute ideal trajectories.

dlforphy

droo

A Deep Reinforcement Learning Approach for Online Offloading in Wireless Powered Mobile Edge Computing Networks

eg4d

Official implementation of EG4D: Explicit Generation of 4D Object without Score Distillation

fedl

FEDL-Federated Learning algorithm using TensorFlow

figure

picture

fine-grained-trust-evaluation-method

GitHub Desktop tutorial repository

game-controller-seed

Some initial code for the game controller

game-dashboard-seed

Initial code for the game dashboard

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.