Alternatives and similar repositories for End-to-End-AutoML-Insurance

Users that are interested in End-to-End-AutoML-Insurance are comparing it to the libraries listed below

• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆64Updated last year
• khuyentran1401 / prefect-dvc
  ☆23Updated 3 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• razorcd / mlops-project
  Machine Learning Ops Project
  ☆30Updated last year
• zachrenwick / streamlit_forecasting_app
  This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…
  ☆66Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 months ago
• Nneji123 / Serving-Machine-Learning-Models
  This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…
  ☆54Updated 2 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆36Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆63Updated 3 years ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆189Updated this week
• kaislar / ds_template
  ☆37Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆117Updated 2 months ago
• markdouthwaite / streamlit-project
  This repository provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own …
  ☆59Updated 3 years ago
• hyunjoonbok / Python-Projects
  Portfolio in Python
  ☆48Updated 2 years ago
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 4 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated this week
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated this week
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆285Updated 2 months ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆72Updated 2 months ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• rajeshmore1 / DataScience_Mentorship
  Course Material - Data Science Program
  ☆15Updated 2 years ago