manyouma
Follow
Lists (3)
Stars
A collection of MARL benchmarks based on TorchRL
Simulation code and accompanying material for the textbook "Introduction to Multiple Antenna Communications and Reconfigurable Surfaces" by Emil Björnson and Özlem Tuğfe Demir, Boston-Delft: now pu…
Source code for "Mixed Monotonic Programming for Fast Global Optimization" by Bho Matthiesen, Christoph Hellings, Eduard A. Jorswieck and Wolfgang Utschick, submitted to IEEE Transactions on Signal…
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, …
A resource for learning about Machine learning & Deep Learning
A large-scale face dataset for face parsing, recognition, generation and editing.
This is a demonstration of an AdaIN style transfer network using the MNIST and SVHN datasets.
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their j…
Using modified BiSeNet for face parsing in PyTorch
StyleGAN2-ADA - Official PyTorch implementation
StyleGAN2 - Official TensorFlow Implementation
TensorFlow-based neural network library
This repository hosts the code for the Metapath-based Heterogeneous Graph-Transformer Network (MHGphormer), proposed in our IEEE TCOM journal publication "Joint Spectrum, Precoding, and Phase Shift…
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), Jul. 2023.
Codes for paper "Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Method"
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
A package to mimic the use of parfor as done in Matlab.
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.