michelgokan
PostDoc at KTH Royal Institute of Technology and AstraZeneca - PhD in Computer Science (Performance Optimization of Cloud/5G/NFV/SDN Systems) from KAU, Sweden
KTH Royal Institute of TechnologyStockholm, Sweden
Pinned Repositories
AlphaTSP
AlphaGo inspired TSP Heuristic Solver
AlphaZero_Connect4
PyTorch implementation of AlphaZero Connect from scratch (with results)
AlphaZero_Gomoku_MPI
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
attention-learn-to-route
Attention based model for learning to solve different routing problems
Clustering
Testing clustering and IPC. To observe application performance in single threaded and clustering behavior
collectd-top
collectd-top: A plugin to measure and send top processes by CPU or Memory
DRL-GNN
EdgeGat
graph neural network layer for Deep Graph Library with pytorch backend
fog-survey-data
The data related to the survey paper: All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
sfc-stress
A docker-based and Kubernetes-ready synthetic service mesh - Generating CPU, memory, disk, and network-intensive workloads with the ability to link services together
michelgokan's Repositories
michelgokan/sfc-stress
A docker-based and Kubernetes-ready synthetic service mesh - Generating CPU, memory, disk, and network-intensive workloads with the ability to link services together
michelgokan/collectd-top
collectd-top: A plugin to measure and send top processes by CPU or Memory
michelgokan/NFV-Inspector
NFV-Inspector: A systematic approach to profile and analyze virtual network functions
michelgokan/AlphaTSP
AlphaGo inspired TSP Heuristic Solver
michelgokan/AlphaZero_Connect4
PyTorch implementation of AlphaZero Connect from scratch (with results)
michelgokan/AlphaZero_Gomoku_MPI
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
michelgokan/attention-learn-to-route
Attention based model for learning to solve different routing problems
michelgokan/Clustering
Testing clustering and IPC. To observe application performance in single threaded and clustering behavior
michelgokan/DRL-GNN
michelgokan/EdgeGat
graph neural network layer for Deep Graph Library with pytorch backend
michelgokan/fog-survey-data
The data related to the survey paper: All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
michelgokan/homebrew-cask
🍻 A CLI workflow for the administration of macOS applications distributed as binaries
michelgokan/jor1k
Online OR1K Emulator running Linux
michelgokan/KristinaUlicna
Welcome to my GitHub profile 👋 full of #DeepLearning #SingleCell #DataScience repositories 👩💻 from my #PhD #research #project 👩🔬 & beyond!
michelgokan/kube-openmon
A lightweight dameon for directly push Kubernetes' cAdvisor metrics to InfluxDB, Elasticsearch, Logstash and more
michelgokan/kubespray
Deploy a Production Ready Kubernetes Cluster
michelgokan/michelgokan
michelgokan/NFV-Inspector-BMS-HSS-FE-Plugin
michelgokan/NFV-Inspector-MON-InfluxDB-Plugin
michelgokan/NFV-Inspector-VMS-Kubernetes-Plugin
michelgokan/NFV-Inspector-VMS-OpenStack-Plugin
michelgokan/oauth2-client
Easy integration with OAuth 2.0 service providers.
michelgokan/openstack-collectd
openstack-collectd: A collectd plugin to report OpenStack related statistics
michelgokan/pytorch-adversarial-examples-training-articles
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
michelgokan/RGCN-pytorch
Pytorch implementation of Relational GCN for node classification
michelgokan/Scheduling-simulator
To compare Completely Fair Scheduler algorithm(Linux scheduler) with two other scheduling algorithms: First Come First Serve Priority Scheduling.
michelgokan/simple-pytorch-cartpole
michelgokan/simple-tsp-solver-using-reinforcement-learning
Revised version of appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
michelgokan/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.