Alternatives and similar repositories for TDD-in-MLOps

Users that are interested in TDD-in-MLOps are comparing it to the libraries listed below

• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• samarth-agrawal-86 / fast_ml
  ☆20Updated last year
• iterative / cml_dvc_case
  ☆17Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• alexcoca / DistributedKernelShap
  ☆12Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• koaning / sentimany
  Just another sentiment wrapper.
  ☆17Updated 3 years ago
• AlexWarembourg / Medium
  Repository for medium article
  ☆22Updated last year
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated last year
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• ksalama / tfx-workshop
  Machine Learning with TensorFlow Extended (TFX) Pipelines
  ☆13Updated last year
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• medoidai / ts-changepoint-detection-app
  An R/Shiny app for time-series segmentation and changepoint detection tasks.
  ☆19Updated 4 years ago
• noahgift / or
  Operations Research Algorithms
  ☆17Updated last year
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆29Updated 3 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 3 years ago