Topic: machine-learning-engineering Goto Github
Some thing interesting about machine-learning-engineering
Some thing interesting about machine-learning-engineering
machine-learning-engineering,The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time data pipeline flow is as follows: 1.Tweets are collected and stored in a database. 2.The sentiment of the tweets is analyzed. 3.The tweet sentiment is posted on a Slack channel using a Slack bot.
User: abhisrn1986
machine-learning-engineering,Flower Classification Web Application (Built with Flask)
User: alanchn31
Home Page: http://flower102-app-alanchn31.herokuapp.com
machine-learning-engineering,Kueski Challenge - Vacante de Machine Learning Engineer
User: alejandrodebus
machine-learning-engineering,This repository contains examples of using various libraries/tools for MLOps.
User: andreizolotarev
machine-learning-engineering,Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.
User: autgaard
machine-learning-engineering,
User: caiquemiranda
machine-learning-engineering,Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
User: curiousily
machine-learning-engineering,๐ป Decoding ML articles hub: Hands-on articles with code on production-grade ML
Organization: decodingml
machine-learning-engineering,๐ค LLM Twin FREE Course: Building Your Production-Ready AIย Replica | An End-to-End Framework for Production-Ready LLM Systems by Building Your LLMย Twin | WIP...
Organization: decodingml
machine-learning-engineering,Machine Learning Model Deployment with SageMaker
User: emilieallen
machine-learning-engineering,Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.
User: gabrieltardochi
machine-learning-engineering,A robust (๐ข) and fast (๐) MLOps tool for managing data and pipelines in Rust (๐ฆ)
User: iesahin
machine-learning-engineering,Frouros: an open-source Python library for drift detection in machine learning systems.
Organization: ifca-advanced-computing
Home Page: https://frouros.readthedocs.io
machine-learning-engineering,A framework for forecasting stock prices with emphasis on Machine Learning best practices.
User: ironcladgeek
machine-learning-engineering,The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. ๐๐๐๐จโ๐ป
User: jagadishmali567
machine-learning-engineering,An cryptocurrency trading bot that uses automated machine learning for decision making to maximize returns.
User: joabara
machine-learning-engineering,Having fun with MLOPS: Wine Stuff
User: joewynn
Home Page: https://joewynn.github.io/mlops-for-fun/
machine-learning-engineering,Develop a single endpoint to predict the sales of a company
User: jrpespinas
machine-learning-engineering,This project aims to apply MLOps techniques to deploy a machine learning model through an API constructed with FastAPI. We utilize Poetry for dependency management and Docker for containerization, ensuring the code is modular, organized ๐, and maintainable ๐ ๏ธ.
User: juniortorresmtj
machine-learning-engineering,Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
User: juzershakir
Home Page: http://nbviewer.jupyter.org/github/JuzerShakir/Finding-Donors-CharityML/blob/master/report.ipynb
machine-learning-engineering,Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Organization: kedro-org
Home Page: https://kedro.org
machine-learning-engineering,:sunglasses: A curated list of awesome MLOps tools
User: kelvins
machine-learning-engineering,Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
User: kennethleungty
machine-learning-engineering,My professional resume
User: kennymassie
Home Page: https://linkedin.com/in/kennymassie
machine-learning-engineering,Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.
User: labrijisaad
Home Page: https://test.pypi.org/project/kedro-table-drift/
machine-learning-engineering,Udacity's Machine Learning Engineer Nanodegree Projects
User: manoj-aryal
machine-learning-engineering,Capstone project for Udacity
User: marvinoeben
machine-learning-engineering,My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
User: memoonatahira
machine-learning-engineering,Advise one of Cognizantโs clients on a supply chain issue by applying knowledge of machine learning models.
User: prajwalchapke055
machine-learning-engineering,Machine Learning for Production Specialization
User: prakharrathi25
Home Page: https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
machine-learning-engineering,Cognizant Artificial Intelligence Job Simulation on Forage
User: riccardoprosdocimi
machine-learning-engineering,Machine Learning Engineering Open Book
User: stas00
Home Page: https://stasosphere.com/machine-learning/
machine-learning-engineering,The website of Sun Analytics B.V.
Organization: sun-analytics
Home Page: https://www.sun-analytics.nl
machine-learning-engineering,A Helm chart containing Kubeflow Pipelines as a standalone service.
User: techn0logic
machine-learning-engineering,End-to-end MLOps Using MLflow for ML lifecycle, including data validation, processing, model training, evaluation, validation and deployment
User: teyang-lau
machine-learning-engineering,Udacity Project: Build an end-to-end plagiarism classification model. Apply skills to clean data, extract meaningful features, and deploy a plagiarism classifier in SageMaker.
User: yingying-hu
machine-learning-engineering,
User: yupbank
machine-learning-engineering,Car Type Classifier using EfficientNetV2, Dockerized and served with FastAPI
User: zhermin
machine-learning-engineering,MLE NLP Matcher that maps item descriptions in natural language to carbon emission labels and factors
User: zhermin
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.