Alternatives and similar repositories for model-productization_article:

Users that are interested in model-productization_article are comparing it to the libraries listed below

• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆72Updated 3 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 2 months ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 9 months ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆113Updated last year
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆104Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆177Updated 6 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated 9 months ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆60Updated last year
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆269Updated 3 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• tanujjain / deploy-ml-model
  Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
  ☆81Updated 5 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated 11 months ago
• bgweber / DS_Production
  ☆154Updated 4 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…
  ☆120Updated 8 months ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 4 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆133Updated 11 months ago
• dipanjanS / adv_nlp_workshop_odsc_europe22
  Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…
  ☆49Updated last year
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆51Updated 4 months ago