DagsHub / ml-workspace
π All-in-one web-based IDE specialized for machine learning and data science.
β79Updated 3 months ago
Related projects β
Alternatives and complementary repositories for ml-workspace
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β174Updated 4 months ago
- DagsHub client librariesβ93Updated this week
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcomeβ¦β120Updated 6 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β143Updated 6 months ago
- Example machine learning pipeline with MLflow and Hydraβ87Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ104Updated last year
- Start a data science project with modern toolsβ185Updated last year
- π§° Multi-user development platform for machine learning teams. Simple to setup within minutes.β303Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β206Updated 2 years ago
- A Streamlit component that provides an annotation interface using the LabelStudio Frontend.β91Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β64Updated 9 months ago
- Code samples for the Effective Data Science Infrastructure bookβ110Updated last year
- Docker images for fastaiβ173Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for β¦β106Updated 2 years ago
- Pre-processing database using pre-written functionsβ20Updated 4 years ago
- Python package for publishing Jupyter Notebooks as Medium blogpostsβ145Updated last year
- β43Updated last year
- π² A curated list of MLOps projects, tools and resourcesβ184Updated 6 months ago
- Dockerized ML Cookiecutterβ71Updated last year
- Learn how to create reliable ML systems by testing code, data and models.β82Updated 2 years ago
- β64Updated last year
- NVIDIA Data Science stack toolsβ380Updated last year
- A small python library that can clump lists of data together.β147Updated 2 years ago
- Data Analysis Baseline Libraryβ131Updated 2 weeks ago
- 100 exercises to learn Python Datatableβ268Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.β41Updated last year
- Streamline scikit-learn model comparison.β146Updated last year
- Code accompanying the "Debugging machine learning in production" talkβ29Updated 2 years ago
- π Distributed machine learning made simple.β49Updated last year