S1naHeidari

-BankCustomerQueue

This is a multi-threaded server-client system for bank customer request management, written in Python. The repository was created to demonstrate the use of sockets in Python.

abstraction_and_reasoning

Data Exploratory Analysis and Solution for Kaggle's Abstraction and Reasoning Challenge

Flask_API_Server

This is a simple flask API server. The code has been tested with %100 test coverage. Also, A command line interface was written to show API server's functionality.

inverted_index

Inverted-Index from scratch, using Python. I've used CACM data set-also included in the repository-to demonstrate the usage.

JCP-DQN

Deep Q-Network (DQN) implementation for the Jack's Rental Car (JCP) problem.

JCP-Q-Learning

An implementation of the Q-learning algorithm for Jack's Rental Car (JCP) problem.

nlp_invertedIndex_tfidf

This program implements an inverted index and a boolean retrieval system using the created inverted index. Also, the program computes tf.idf values for every word-document co-occurrence. lastly, the program implements cosine similarity to complete it's ranked retrieval system using the computed tf.idf values.

openfaas-benchmarks

Implementation of FunctionBench micro-benchmarks and applications for OpenFaaS on Kubernetes.

S1naHeidari.github.io

My personal website.

scheduling_simulation

Simulation of SJF, FCFS and Round Robin algorithms in C. Implementation details are included in the repository.

S1naHeidari/abstraction_and_reasoning

Data Exploratory Analysis and Solution for Kaggle's Abstraction and Reasoning Challenge

S1naHeidari/openfaas-benchmarks

Implementation of FunctionBench micro-benchmarks and applications for OpenFaaS on Kubernetes.

S1naHeidari/S1naHeidari.github.io

My personal website.

S1naHeidari/JCP-DQN

Deep Q-Network (DQN) implementation for the Jack's Rental Car (JCP) problem.

S1naHeidari/JCP-Q-Learning

An implementation of the Q-learning algorithm for Jack's Rental Car (JCP) problem.

S1naHeidari/ansible-kubeadm

S1naHeidari/ATM_C

A program in C that mimics an ATM machine.

S1naHeidari/BigInt_Java

An Implementation of BigInt in Java.

S1naHeidari/fibonacci-openfaas

An OpenFaaS function that computes the nth element of the Fibonacci sequence.

S1naHeidari/FunctionBench

Implementation of FunctionBench applications and micro-benchmarks to deploy on Kubernetes

S1naHeidari/Ganjoor_Search_Engine

A Persian Poem Search Engine Developed in Java Using Ganjoor Dataset.

S1naHeidari/heterogeneous-k8s-cluster

A Vagrant+Ansible IaaS for setting up a k8s cluster with three node groups.

S1naHeidari/hysteretic_Qlearning

Hysteretic Q-Learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams, written in Python.

S1naHeidari/Indoor_location_navigation

Data Exploratory Analysis and Solution for Indoor Location & Navigation.

S1naHeidari/JCP-DynamicProgramming

Solving the Jack's Rental Car (JCP) problem with Dynamic Programming.

S1naHeidari/jponttuset.github.io

My personal webpage

S1naHeidari/k3s-cluster

A Vagrant+Ansible IaC for setting up a k3s cluster.

S1naHeidari/k8s-cluster

S1naHeidari/Kubernetes_Vagrant_Ansible

The Vagrantfile and Ansible playbook files to set up a custom Kubernetes cluster on virtual machines. You can manually set the number of worker nodes in the cluster.

S1naHeidari/M5-Forcasting

Data Exploratory Analysis and Solution for Kaggle's M5 Forecasting - Accuracy Challenge.

S1naHeidari/metrics-server

Yaml file for setting up a metrics server on k8s.

S1naHeidari/predict_persian_poet

A notebook to classify and predict poet for Persian poems with Naive Bayes, SVC and KNN classifiers.

S1naHeidari/rainbow

S1naHeidari/Recommender_Systems

Data Exploratory Analysis on Amazon Reviews. Then Using Popularity-based, Item-item Recommendation and Model-based Collaborative Filtering to Recommend Electronic Products to Users.

S1naHeidari/results-weighted-lb

S1naHeidari/scheduling_agent

S1naHeidari/toxic_comment_classification

Data Exploratory Analysis and Solution for Kaggle's Toxic Comment Classification Challenge.

S1naHeidari/tweet_sentiment_extraction

Data Exploratory Analysis and Solution for Kaggle's Tweet Sentiment Extraction Challenge.

S1naHeidari/weighted_load_balancing

A web server written in Python to distribute HTTP requests using weighted load balancing.

S1naHeidari/workload_replay

A program to replay serverless workload based on Azure Functions dataset. Sample workload is also included within the repository.