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,…
  ☆67Updated 3 years ago
• whiteboxml / teaching-ml-in-production
  ☆53Updated 3 years ago
• MuttData / muttlib
  ☆31Updated 2 years ago
• pluralsight / tech-blog-fastapi-demo
  sample code for tech blog post "Porting Flask to FastAPI for ML Model Serving"
  ☆28Updated 2 years ago
• schmidtbri / ml-model-abc-improvements
  Code showing how to add metadata and versioning to an ML model base class.
  ☆11Updated 3 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
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• tiangolo / python-machine-learning-docker
  Docker image with Python 3.6 and 3.7 using Conda, with CUDA variants. To serve as base image for Machine Learning projects.
  ☆85Updated 3 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
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 4 months ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 7 years ago
• shanesoh / deploy-ml-fastapi-redis-docker
  Deploy and scale machine learning models with FastAPI, Redis and Docker
  ☆151Updated 3 years ago
• FerrariDG / async-ml-inference
  PoC with FastAPI and Celery to ML inference
  ☆93Updated 3 years ago
• cosmic-cortex / fastAPI-ML-quickstart
  ☆72Updated 6 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• changhsinlee / pytest-mock-examples
  Examples for the blog post on pytest-mock
  ☆80Updated 3 years ago
• idealo / falcon-prediction-app
  Simple Machine Learning Web API Example with Falcon
  ☆51Updated last year
• ericmjl / minimal-flask-example
  The simplest complex example that I can think of to show main Flask app concepts.
  ☆47Updated this week
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 3 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆98Updated 3 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆87Updated 3 years ago
• Doometnick / xkcd-Style-Plots
  Create matplotlib plots with the art style of Randall Munroe's xkcd
  ☆86Updated 6 years ago
• kylegallatin / mlops-pipeline
  ☆21Updated 4 years ago
• htorrence / pytest_examples
  Reference package for unit tests
  ☆49Updated 7 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• jeremyjordan / flask-vs-fastapi
  An exploration comparing Flask with FastAPI.
  ☆18Updated last year
• omegaml / minibatch
  Python stream processing for humans
  ☆189Updated last week
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago