Alternatives and similar repositories for ml-workspace

Users that are interested in ml-workspace 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.
  ☆152Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆185Updated last year
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆204Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• ml-tooling / ml-hub
  🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
  ☆319Updated 4 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• fastai / docker-containers
  Docker images for fastai
  ☆181Updated 3 years ago
• fastai / nbdev_template
  Template for nbdev projects
  ☆326Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆149Updated 2 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• h2oai / wave-apps
  Sample AI Apps built with H2O Wave.
  ☆165Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆271Updated 4 years ago
• treeverse / example-get-started
  Get started DVC project (NLP, random forest)
  ☆191Updated last year
• visenger / Awesome-ML-Model-Governance
  This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
  ☆123Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• datarootsio / ml-skeleton-py
  A best-practices first project template that allows you to get started on a new machine learning project.
  ☆146Updated 4 years ago
• CODAIT / text-extensions-for-pandas
  Natural language processing support for Pandas dataframes.
  ☆217Updated 11 months ago
• NVIDIA / data-science-stack
  NVIDIA Data Science stack tools
  ☆398Updated 2 years ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆200Updated 5 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 4 years ago
• treeverse / example-get-started-experiments
  Get started DVC project
  ☆65Updated last year
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆74Updated 3 weeks ago
• Minyus / Python_Packages_for_Pipeline_Workflow
  This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.
  ☆56Updated 5 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆30Updated 3 years ago
• sid-the-coder / QuickDA
  Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
  ☆105Updated 3 years ago
• Machine-Learning-Tokyo / Annotation_Tools
  Open Source Annotation Tools for Computer Vision and NLP tasks
  ☆57Updated 4 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆142Updated 3 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆187Updated last year
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆309Updated last month