Topic: evidently Goto Github
Some thing interesting about evidently
Some thing interesting about evidently
evidently,This an attempt to predict fraud transactions from a huge collection of records of bank transaction over a period of time.
User: aakaaasshhh24
evidently,MLOps zoomcamp project 2023
User: abdala9512
evidently,MLOps Zoomcamp Project
User: abdallaabker
Home Page: https://fire-forest-webapp.azurewebsites.net/
evidently,End to End toy example of MLOps
User: ashishtele
evidently,🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
User: blaz-cerpnjak
evidently,DataTalks Club - Machine Learning Operations Zoomcamp (Cohort 2024)
User: chukwuemekaaham
evidently,Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
User: eeeds
evidently,MLOps Zoomcamp hosted by DataTalksClub.
User: eeeds
evidently,This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
User: ivangolt
evidently,Comparison between several Python data profile libraries.
User: jbris
evidently,Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
User: karimlulu
evidently,White and Red Wine classification using logistic regression
User: khadkarajesh
evidently,ML Project END to END
User: lomesh2000
evidently,Build End to End ML pipeline for USVisa prediction, deploy web App to AWS Ec2 instance using Docker, CI/CD with github actions
User: malleswarigelli
evidently,mlops zoomcamp 2023 solutions
User: manthanshettigar
evidently,Development, deployment and monitoring of machine learning models following the best MLOps practices
User: marcosmjd
evidently,Demonstração de análise via dashboard interativo feito com a lib Evidently.
User: marcus-v-freitas
evidently,Evidently AI in tracking, analyzing, and visualizing machine learning model performance and data drift ensure their reliability over time.
User: md-emon-hasan
evidently,This is a simple http server to manage feature flags, compatible with Amazon CloudWatch Evidently.
User: michimani
evidently,Sample for creating a CloudWatch Evidently project
User: michimani
evidently,Minimal example of Evidently + Streamlit
User: nick-konovalchuk
evidently,This project adopts a modular Python architecture within an MLOps framework to enhance subscription renewal predictions, utilizing FastAPI and MongoDB with AWS integration (S3, ECR, EC2). Docker ensures seamless deployment, and GitHub Actions automate the CI/CD workflows. Evidently AI monitors drift to guarantee predictive accuracy and reliability.
User: omar-karimov
evidently,Online Prediction Machine Learning System designed, deployed and maintained with MLOps Practices. Goal of the project is to predict individuals income based on census data.
User: ovokpus
evidently,Maternal Health Risk prediction MLOps pipeline
User: peco602
evidently,Learn how to handle model drift and perform test-based model monitoring
Organization: pyladiesams
evidently,A machine learning-driven project designed to detect and flag computer-generated or fake product reviews, ensuring authentic customer feedback and maintaining the integrity of online reviews.
User: quicksilvershanks
evidently,Github Repository to implement Kubeflow with Evidently.ai for Model Monitoring
User: verma-kartik
evidently,
User: yassaadi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.