skydvn

CAFL-RL

cr-noma-ddpg

Data-Playground

A simple scalable code set to analyze and visualize data

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

DRL-CDC

This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"

DRL_RSMA_Radar_UAV

fl-noniid

experiments on Federated Learning with non-IID data

FL-ResourceAllocation-Environment

This is environment for FL-Optimization

SciencePlot-for-Publication

SemCom-Pytorch

skydvn/fl-noniid

experiments on Federated Learning with non-IID data

skydvn/UnsupervisedActionEstimation

skydvn/autoencoder-fl

skydvn/chest-xray-code

this code handles the kaggle test chest xray

skydvn/CSD

Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)

skydvn/deeprl_network

multi-agent deep reinforcement learning for networked system control.

skydvn/fed_avg_iid_and_non-iid

skydvn/federated-learning

skydvn/FedFusion

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

skydvn/force

A library for reinforcement learning research

skydvn/Graph-neural-networks

skydvn/Keras_model_compression

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

skydvn/knowledge-distillation-papers

knowledge distillation papers

skydvn/MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

skydvn/non-iid-dataset-for-personalized-federated-learning

skydvn/ONE_NeurIPS2018

skydvn/oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

skydvn/pseudo_labeling_small_datasets

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

skydvn/PseudoLabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

skydvn/Python_CsiNet

Python code for "Deep Learning for Massive MIMO CSI Feedback"

skydvn/References--Reinforcement-Learning

Papers being part of the state of the art on reinforcement learning

skydvn/Reinforcement-learning-in-Comm-theory

Project regarding Resource allocation using RL

skydvn/Reproducible-Deep-Learning-in-Communication

skydvn/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

skydvn/rl_abstraction

Code for experimenting with state and action abstractions in reinforcement learning.

skydvn/RODE

Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

skydvn/sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

skydvn/subcarrier-power-allocation-noma-solver

skydvn/The-JUAD-resource-allocation-for-D2D-in-a-FDD-cellular-network

WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks

skydvn/wireless-suite