Alternatives and similar repositories for ml-pipeline

Users that are interested in ml-pipeline are comparing it to the libraries listed below

• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆67Updated 3 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 3 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 7 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• MBKraus / incremental_training
  Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
  ☆121Updated 2 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 6 years ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• cosmic-cortex / fastAPI-ML-quickstart
  ☆68Updated 5 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated 2 years ago
• schmidtbri / ml-model-abc-improvements
  Code showing how to add metadata and versioning to an ML model base class.
  ☆11Updated 2 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• idealo / falcon-prediction-app
  Simple Machine Learning Web API Example with Falcon
  ☆51Updated 8 months ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆112Updated last year
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆33Updated 4 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆53Updated 5 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 8 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago