JesperDramsch / ml.recipesLinks
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.
☆75Updated 2 weeks ago
Alternatives and similar repositories for ml.recipes
Users that are interested in ml.recipes are comparing it to the libraries listed below
Sorting:
- PyData London 2022 Tutorial☆67Updated 3 years ago
- ☆150Updated 2 years ago
- pycircular is a Python module for circular data analysis☆105Updated 2 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆117Updated 2 years ago
- Explore and compare 1K+ accurate decision trees in your browser!☆169Updated last year
- It's all in the name☆81Updated 2 years ago
- A mixture density network, by PyTorch, for scikit-learn☆24Updated 10 months ago
- Resources for some of our education content☆46Updated 2 months ago
- Repository for a workshop on Bayesian Decision Analysis☆73Updated 2 years ago
- pipreqs with jupyter notebook support☆70Updated 2 years ago
- PyData Global Workshop: Jupyter Notebooks in VS Code☆15Updated 2 years ago
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Easily create and customize bump charts in Python☆62Updated 2 weeks ago
- ☆18Updated last year
- Dask tutorial material for video tutorial series☆87Updated 2 years ago
- Exploratory repository to study predictive survival analysis models☆37Updated 2 years ago
- Scipy 2019 Tutorial☆36Updated 5 years ago
- bayes-toolbox☆93Updated 3 months ago
- Talk "Beyond pandas: The great Python dataframe showdown"☆37Updated 3 years ago
- Templates for jupyter notebooks☆147Updated last year
- Prune your sklearn models☆19Updated 11 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Bringing back uncertainty to machine learning.☆53Updated last year
- Sample projects using Ploomber.☆86Updated last year
- Tutorial on probabilistic classification and cost-sensitive learning.☆13Updated 2 months ago
- Can machines help us understand how to distinguish rock types?☆22Updated 3 years ago
- HoloViz tutorial for KDD 2022☆34Updated 2 years ago
- ☆72Updated 2 years ago
- Cookiecutter template for a simple jupyter book☆153Updated 7 months ago
- SciPy Conference Materials☆47Updated 2 weeks ago