bl166

aml-docs

deep-EE-opt

Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.

Efficient_Person_ReID

This repo contains implementation of pruning ResNet and DenseNet for the efficient person re-ID problem.

gee-scripts-collection

Works on Google Earth Engine

usca_power_control

Deep unfolded SCA for power allocation in wireless system

USPowerPlantDataset

A demo for the creation of US Power Plant NAIP/Landsat8 Dataset

wireless_digital_twin_j

wireless_digital_twin_milcom

WirelessFL-PDG

deep_demixing

Official repository of the paper 'Deep Demixing: Reconstructing the evolution of epidemics using graph neural networks'

bl166/WirelessFL-PDG

bl166/usca_power_control

Deep unfolded SCA for power allocation in wireless system

bl166/Efficient_Person_ReID

This repo contains implementation of pruning ResNet and DenseNet for the efficient person re-ID problem.

bl166/USPowerPlantDataset

A demo for the creation of US Power Plant NAIP/Landsat8 Dataset

bl166/gee-scripts-collection

Works on Google Earth Engine

bl166/wireless_digital_twin_j

bl166/wireless_digital_twin_milcom

bl166/aml-docs

bl166/deep-EE-opt

Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.

bl166/DUDE

Application of the DUDE algorithm to binary images

bl166/LearningDeepLearning

Intro to deep learning

bl166/Basic2

1/22 Commit

bl166/deep_demixing

Deep Demixing: Reconstructing the Evolution of Network Epidemics

bl166/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

bl166/hg_general_submodular_weights

bl166/MALSAR

Multi-task learning via Structural Regularization

bl166/Multi-Armed-Bandit-Based-Client-Scheduling-for-Federated-Learning

Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning

bl166/network-slimming

Network Slimming (Pytorch)

bl166/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

bl166/random_scritps

random scripts for doing stuff

bl166/Wetlab-Stuff

bl166/Wireless-FL