Alternatives and similar repositories for automatic_testing

Users that are interested in automatic_testing are comparing it to the libraries listed below

• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• thejat / mlops-notebooks
  ☆66Updated 9 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆106Updated last week
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆96Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 3 years ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆15Updated 5 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆73Updated 2 weeks ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆50Updated last year
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 4 years ago
• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 4 years ago
• ivan-bilan / Deep-Learning-for-NLP-Tutorials
  Tutorials for using Tensorflow and Keras for NLP
  ☆14Updated 7 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆17Updated 2 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last month
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 5 years ago
• pplonski / data-drift-detection
  Dashboard for Data Drift Detection in Python with Evidently and Mercury
  ☆15Updated 3 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…
  ☆65Updated 2 years ago