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.
  ☆149Updated last year
• 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
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• iterative / example-get-started
  Get started DVC project (NLP, random forest)
  ☆184Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆201Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 11 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 8 months ago
• ml-tooling / ml-hub
  🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
  ☆319Updated 3 years ago
• sid-the-coder / QuickDA
  Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
  ☆105Updated 2 years ago
• ml-tooling / ml-project-template
  ML project template facilitating both research and production phases.
  ☆113Updated 6 years ago
• iterative / example-get-started-experiments
  Get started DVC project
  ☆62Updated last year
• mstaniak / autoEDA-resources
  A list of software and papers related to automatic and fast Exploratory Data Analysis
  ☆430Updated 5 months ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆39Updated 4 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated last year
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆184Updated last year
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆197Updated 5 years ago
• datarootsio / ml-skeleton-py
  A best-practices first project template that allows you to get started on a new machine learning project.
  ☆145Updated 4 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆148Updated 2 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• fastai / docker-containers
  Docker images for fastai
  ☆181Updated 3 years ago
• DagsHub / fds
  Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
  ☆393Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• DagsHub / client
  DagsHub client libraries
  ☆100Updated last week
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆306Updated last week
• h2oai / wave-apps
  Sample AI Apps built with H2O Wave.
  ☆161Updated 11 months ago