Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Implementation of Rios, A., & Itti, L. (2019, August). Closed-loop memory gan for continual learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 3332-…

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Exploring diffusion models on CIFAR 10, leveraging DDPM and Unet architectures for high-fidelity image generation from noise.

Bring portraits to life!

Source code for LLM based optimization for wireless communication

Python bindings for llama.cpp

A curation list of Awesome LLM/FM for wireless communication and networking papers, including applications, benchmarks, datasets, codes/implementations, and related resources.

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adver…

A distributed learning algorithm for GANs with Non-IID dataset

FeGAN: Scaling Distributed GANs

The implementation of our paper Fed-TDA

A decentralized learning research framework

Code for "Fully Distributed Generative Adversarial Networks"

Decentralized federated learning of deep neural networks on non-iid data

Python module for simulating gossip learning.

AsynDGAN project source code.

Various implementations of Generative adversarial networks using Pytorch

unsupervised video and image generation

DistributedGAN

These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 12…

The paper list about deep learning based image compression

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A Collection of Variational Autoencoders (VAE) in PyTorch.

This example shows how to co-execute MATLAB and Python to simulate the effect of channel estimate compression on precoding in a MIMO OFDM channel.

Source code for CsiNet and CRNet using Fully Connected Layer-Shared feedback architecture.

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning