Alternatives and similar repositories for tac-example

Users that are interested in tac-example are comparing it to the libraries listed below

• tiangolo / uvicorn-gunicorn-machine-learning-docker
  Docker image for high-performance Machine Learning web applications. With Uvicorn managed by Gunicorn in Python 3.7 and 3.6, using Conda,…
  ☆66Updated 2 years ago
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago
• MuttData / muttlib
  ☆31Updated last year
• jeremyjordan / flask-vs-fastapi
  An exploration comparing Flask with FastAPI.
  ☆18Updated last year
• idealo / falcon-prediction-app
  Simple Machine Learning Web API Example with Falcon
  ☆51Updated 8 months ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆98Updated 3 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆86Updated 2 years ago
• dimenwarper / chainlearn
  Mini module with syntax sugar for pandas/sklearn
  ☆107Updated 4 years ago
• cosmic-cortex / fastAPI-ML-quickstart
  ☆68Updated 5 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• urigoren / decorators4DS
  Useful decorators every Data Scientist should know
  ☆29Updated 2 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• Minyus / Python_Packages_for_Pipeline_Workflow
  This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.
  ☆57Updated 5 years ago
• ww-tech / primrose
  Primrose modeling framework for simple production models
  ☆32Updated last year
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆102Updated 2 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 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
• 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
• jeannefukumaru / cookiecutter-ml
  Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://b…
  ☆39Updated 7 years ago
• khannajai / dash-nginx-uwsgi-docker
  Build elegant dashboards and deploy with ease
  ☆39Updated last year
• harkous / production_ml
  A Guide to Scaling Machine Learning Models in Production
  ☆88Updated 7 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• d6t / d6t-python
  Accelerate data science
  ☆116Updated 4 years ago
• sbalnojan / cd4ml-example
  A CD4ML Example Setup on AWS S3, GitLab with DVC
  ☆24Updated 2 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated 2 years ago
• soundsensing / mlflow-easyauth
  Deploy MLflow with HTTP basic authentication using Docker
  ☆104Updated 2 weeks ago