Michel Gokan Khan (michelgokan)

michelgokan

Geek Repo

Company:KTH Royal Institute of Technology

Location:Stockholm, Sweden

Home Page:https://www.linkedin.com/in/michelgokan/

Twitter:@michelgokan

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Michel Gokan Khan's repositories

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

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collectd-top

collectd-top: A plugin to measure and send top processes by CPU or Memory

NFV-Inspector

NFV-Inspector: A systematic approach to profile and analyze virtual network functions

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AlphaTSP

AlphaGo inspired TSP Heuristic Solver

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AlphaZero_Connect4

PyTorch implementation of AlphaZero Connect from scratch (with results)

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AlphaZero_Gomoku_MPI

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

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attention-learn-to-route

Attention based model for learning to solve different routing problems

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Clustering

Testing clustering and IPC. To observe application performance in single threaded and clustering behavior

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EdgeGat

graph neural network layer for Deep Graph Library with pytorch backend

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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

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homebrew-cask

🍻 A CLI workflow for the administration of macOS applications distributed as binaries

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jor1k

Online OR1K Emulator running Linux

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KristinaUlicna

Welcome to my GitHub profile 👋 full of #DeepLearning #SingleCell #DataScience repositories 👩‍💻 from my #PhD #research #project 👩‍🔬 & beyond!

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kube-openmon

A lightweight dameon for directly push Kubernetes' cAdvisor metrics to InfluxDB, Elasticsearch, Logstash and more

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kubespray

Deploy a Production Ready Kubernetes Cluster

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oauth2-client

Easy integration with OAuth 2.0 service providers.

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openstack-collectd

openstack-collectd: A collectd plugin to report OpenStack related statistics

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pytorch-adversarial-examples-training-articles

PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.

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RGCN-pytorch

Pytorch implementation of Relational GCN for node classification

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Scheduling-simulator

To compare Completely Fair Scheduler algorithm(Linux scheduler) with two other scheduling algorithms: First Come First Serve Priority Scheduling.

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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"

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Stock-Trading-Environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

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