Alternatives and similar repositories for poc-docker-template

Users that are interested in poc-docker-template are comparing it to the libraries listed below

• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆150Updated last year
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 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 10 months ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 5 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 6 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆20Updated 4 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 10 months ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆71Updated 3 months ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 3 years ago
• ThoughtWorksInc / CD4ML-Scenarios
  Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…
  ☆142Updated last year
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆263Updated 3 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago