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8-git-commands-you-should-know-3087083

This is a repository for the LinkedIn Learning course 8 Git Commands You Should Know

a-novel-approach-for-service-function-chain-sfc-mapping-with-multiple-sfc-instances-paper

This code simulate effect of using edge computing for NFV.

a-scalable-approach-for-service-chain-sc-mapping-with-multiple-sc-instances-in-a-wide-area-network

Column Generation python code

commonsense-validation-and-explanation

SemEval 2020 Task 4: Commonsense Validation and Explanation.

cover-letter-maker

Build Cover Letter with ChatGPT

create-folder-create-file-delete-file-restore-file-with-python

cuckoo-search

documents

dynamic-programming

Dynamic programming examples

energy-cost-optimization-in-dynamic-placement-of-virtualized-network-function-chains

extract_info_with_regular_expressions

Extract information from written text

flask-intro

fraud-detection

frontend-learning

github-readme-stats

:zap: Dynamically generated stats for your github readmes

google

Developing the first page of Google for learning front-end development

grammar_checker

Used context-free grammar (CFG) and constituency parsing to build a grammar checker.

hmm-and-brill-taggers

We used hmm and brill taggers to tag sentences. Also, to achieve a better performance, we fine-tuned the hmm and brill taggers on the development data and test them on in-domain and out-of-domain text samples to find out the performance of each tagger.

hobbies

introduction-to-algorithms-course-mit-course-number-6.006-

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

jalali-moment

Display, parse, manipulate, validate and convert jalali (Persian, Khorshidi, Shamsi) or Gregorian (Miladi) dates and times.

linear-regressions-and-linear-models-using-the-iris-data

load-balancing-4-sfc-mapping

load-balancing-in-nfv

machine-learning-and-neural-network

machine-learning-and-neural-network-algorithms

You can see dataset in folder Dataset. We wanted to find one algorithm that can predict our test data better. We checked the machine learning algorithm: LDA, QDA, Decision tree, KNN, kernel SVM and also neural network. Results were reported in the Report folder.

ml-pipeline

Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.

ngram-language-model

Building n-gram language model from scratch.

notmnist-dataset

on-service-chaining-strategies-using-virtual-network-functions-in-operator-networks

simulation of paper : "On service chaining strategies using Virtual Network Functions in operator networks"