558 skills found · Page 19 of 19
tsaopy / TsaopyTime Series by Anharmonic Oscillators is a Python library designed to analize oscillating time series by modelling them as anharmonic oscillators. You can visit my personal Github profile at https://github.com/sofia-scz.
YourFriendlyNeighbour666 / App W3dpcalcWild 3D Print Offline calculator. Basic calc that lets you estimate weight and costs of your 3D prints.Create profiles for printers/filaments/parts. Simplified to the bone raw Python. Version 0.2 allows saving every calc to part_database
cloudmaking / Browser Automation Software[Selenium-Python-GUI] ]This software allows to run selenium automation on a unique chrome browser profile with minilam setup. You can write presets and save them for later use only worrying about the automation step, skipping all the "backend" selenium setup code.
ajmjakaria / Toph Problems SolutionToph.co, a platform developed by Furqan Software, is a well-known Bangladeshi competitive programming platform. I've had the chance to solve numerous problems on this platform using the C++ and Python programming languages. This experience is a part of my coding journey, which I am documenting on my GitHub profile repository.
Tech-with-Vidhya / Productionized Docker ML Model Application Into Kubernetes Cluster Using AWS EKS CloudFormation EMRThis project covers the end to end implementation of deploying and productionizing a dockerized/containerized machine learning python flask application into Kubernetes Cluster using the AWS Elastic Kubernetes Service (EKS), AWS Serverless Fargate Instances, AWS CloudFormation Cloud Stack and AWS Elastic Container Registry (ECR) Service. The machine learning business case implemented in this project includes a bank note authentication binary classifier model using Random Forest Classifier; which predicts and classifies a bank note either as a Fake Bank Note (Label 0) or a Genuine Bank Note (Label 1). Implementation Steps: 1. Creation of an end to end machine learning solution covering all the ML life-cycle steps of Data Exploration, Feature Selection, Model Training, Model Validation and Model Testing on the unseen production data. 2. Saved the finalised model as a pickle file. 3. Creation of a Python Flask based API; in order to render the ML model solution and inferences to the end-users. 4. Verified and tested the working status of the Python Flask API in the localhost set-up. 5. Creation of a Docker File (containing the steps/instructions to create a docker image) for the Python Flask based Bank Note Authentication Machine Learning Application embedded with Random Forest ML Classifier Model. 6. Creation of IAM Service Roles with appropriate policies to access the AWS Elastic Container Registry (ECR) Service and AWS Elastic Kubernetes Service (EKS) and AWS CloudFormation Service. 7. Created a new EC2 Linux Server Instance in AWS and copied the web application project’s directories and its files into the AWS Linux Server using SFTP linux commands. 8. Installed the Docker software and the supporting python libraries in the AWS EC2 Linux Server Instance; as per the “requirements.txt” file. 9. Transformation of the Docker File into a Docker Image and Docker Container representing the application; using docker build and run commands. 10. Creation of a Docker Repository within the AWS ECR Service and pushed the application docker image into the repository using AWS Command Line Interface (CLI) commands. 11. Creation of the Cloud Stack with private and public subnets using the AWS CloudFormation Service with appropriate IAM roles and policies. 12. Creation of the Kubernetes Cluster using the AWS EKS Service with appropriate IAM roles and policies and linked the cloud stack created using the AWS CloudFormation Service. 13. Creation of the AWS Serverless Fargate Profile and Fargate instances/nodes. 14. Creation and configured the “Deployment.yaml” and “Service.yaml” files using the Kubernetes kubectl commands. 15. Applied the “Deployment.yaml” with pods replica configuration to the AWS EKS Cluster Fargate Nodes; using the Kubernetes kubectl commands. 16. Applied the “Service.yaml” using the Kubernetes kubectl commands; to render and service the machine learning application to the end-users for public access with the creation of the production end-point. 17. Verified and tested the inferences of the productionized ML Application using the AWS Fargate end-point created in the AWS Kubernetes EKS Cluster. Tools & Technologies: Python, Flask, AWS, AWS EC2, Linux Server, Linux Commands, Command Line Interface (CLI), Docker, Docker Commands, AWS ECR, AWS IAM, AWS CloudFormation, AWS EKS, Kubernetes, Kubernetes kubectl Commands.
eunchong / Awesome Python ProfilerNo description available
bsoyka / GravifyA Python library to interface with Gravatar profiles and avatars.
tritemio / Euroscipy2018 Python OptimizationEuroScipy 2018 Tutorial "A tour of python profiling and optimization"
premnagdeo / Python LinkedIn Information ScraperScraping LinkedIn Profile Data with Python using Selenium and BeautifulSoup
KaykCaputo / OracletraceLightweight Python tool to detect performance regressions and compare execution traces with call graph visualization.
dbountouridis / MusicProfileHMMsPython routines for multiple sequence alignment, generating profile HMMs, focused on music sequences
HansikaPH / PyquoraA Python module to fetch and parse data from Quora user profiles.
mrxehmad / Instagram Profile APIThis API, built in Python, fetches an Instagram user's profile picture URL by providing their username.
chaosbuffalolabs / Kivy ProfilersA thin wrapper over various python profilers to assist with debugging of Kivy programs
thipag / PlaystationNetworkPythonAPIPlaystation Network Python API, View Profile, Trophies and Friend Status
aniketsingh0104 / Personalised Web Search With NLPPersonalized Web search Engine. Based on the user profile and group profile personalization. Written in python.
AliYmn / Python GravatarPython gravatar profile package
sysread / PyprofA report generator for python profiling data
khaleddallah / LinkedinScraperPython Scrapy project parse people profiles of Linkedin Search and arrange result content in Excel and Json file
gh0st-work / Insta CheckerPython Instagram API checker / scrapper / wrapper 2021. Fast and asynchronously scrapes instagram profiles and posts, powered by aiohttp.
