Alternatives and similar repositories for Machine-Learning-Pipelines:

Users that are interested in Machine-Learning-Pipelines are comparing it to the libraries listed below

• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 8 months ago
• NicoloAlbanese / airflow-ml-pipeline-mvp
  Machine Learning pipeline MVP on Docker and Apache Airflow
  ☆15Updated 3 years ago
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 4 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆17Updated 5 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆61Updated 2 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆68Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• Peco602 / maternal-health-risk
  Maternal Health Risk prediction MLOps pipeline
  ☆42Updated 2 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆27Updated 3 years ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆75Updated 2 years ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• deepaksmishra / Data-Science-interview-questions-
  data science interview questions company wise which include the data analyst , junior data scientist , machine learning engineer etc. pos…
  ☆15Updated 2 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 3 years ago
• chengyin38 / dais_2021_drifting_away
  ☆15Updated 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
• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆77Updated last year
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 5 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 2 years ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆27Updated 5 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated last year
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 4 years ago
• pycaret / pycaret-deployment-google
  PyCaret deployment on Google Cloud Platform
  ☆53Updated 2 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆23Updated last year
• aissam-out / ML-in-production
  Pipeline for ML/DL solutions: Build the model, create an API to interact with it, containerize it and deploy it
  ☆18Updated 4 years ago