mucahidozcelik

mucahidozcelik's Stars

• alperen-selcuk/kubernetes-elk-logging-with-filebeat

  81

• EmreOzanMemis/PowerShell-IP-to-Hostname-Resolver

  Language:PowerShell13

• ann-afame/DEVOPS-WORLD

  3.3k2.4k

• idristrades/scrape-tweets-no-API-2024

  Scrape tweets in Python without the official Twitter (X.com) API in 2024. Save them in a JSON format to then analyse the data later on. In this example, you can download the latest 100 tweets from Elon Musk's feed. To make it retrieve more or less than 100, check out https://github.com/bocchilorenzo/ntscraper for more information

  Language:Python81

• bocchilorenzo/ntscraper

  Scrape from Twitter using Nitter instances

  Language:Python14922

• aytitech/k8sfundamentals

  Ayti.tech tarafından sunulan "Kubernetes Temelleri" eğitiminde gerekli dosyaların barındırılması için oluşturulan GitHub repository'si.

  306295

• MasterFAE/nest-todo-cloudnative-appconfig

  1

• MasterFAE/nest-todo-cloudnative

  Language:TypeScript2

• turbot/steampipe

  Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

  Language:Go6.7k263

• HuaweiCloudBrazilTeam/Huawei-Cloud-Comparison-ServiceList

  Huawei Cloud Service List

  95

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.7k422

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.1k1.4k

• feyzullahertan/elastic-search-cluster

  Elasticsearch install documentation

  52

• feyzullahertan/kibana-cluster

  Kibana Install Documentation & Using Fleet Manager

  1

• mehranshakarami/AI_Spectrum

  Language:Python155104

• thepycoach/fifa-world-cup-2022-prediction

  Language:Jupyter Notebook189128

• nicolaskruchten/pivottable

  Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.

  Language:CoffeeScript4.3k1.1k

• huaweicloud/terraform-provider-huaweicloud

  Terraform HuaweiCloud provider

  Language:Go206154

• iameminmammadov/dash-predictive-maintenance

  Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

  Language:Python3623

• appliedepi/epiRhandbook_tr_archive

  Language:HTML25

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.7k5.8k

• asyaf/fun_mini_projects

  Fun coding snippets

  Language:Jupyter Notebook63

• ChristopherGS/ultimate-fastapi-tutorial

  The Ultimate FastAPI Tutorial

  Language:Python985340

• otaviomguerra/teste-pratico-mobit

  This project is my solution to the practical test for the role of Data Scientist at MOBIT Brasil LTDA

  Language:Python2

• AgiMaulana/Instagram-Comments-Scraper

  Instagram comment scraper using python and selenium. Save the comments into excel.

  Language:Python13144

• susanli2016/NLP-with-Python

  Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

  Language:Jupyter Notebook2.7k2k

• arrlanyhars/selenium-instagram

  Language:Python21

• idealo/image-quality-assessment

  Convolutional Neural Networks to predict the aesthetic and technical quality of images.

  Language:Python2k442

• ysyscool/SGDNet

  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

  Language:Python7714

• sercanyesiloz/Global-AI-Hub-Summer-Camp-22

  Global AI Hub Summer Camp'22

  Language:Jupyter Notebook2913