interpretml / slicerLinks
Unified slicing for all Python data structures.
☆36Updated last month
Alternatives and similar repositories for slicer
Users that are interested in slicer are comparing it to the libraries listed below
Sorting:
- JupyterLab renderer of dagitty causal diagrams☆24Updated last year
- Efficient matrix representations for working with tabular data☆125Updated 3 weeks ago
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆100Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- DataFrame support for scikit-learn.☆63Updated 2 weeks ago
- Editing machine learning models to reflect human knowledge and values☆127Updated 2 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- An abstraction layer for parameter tuning☆35Updated last year
- A library to use `modal` as a backend for `joblib`.☆31Updated 8 months ago
- MetaLearners for CATE estimation☆47Updated this week
- A library of Reversible Data Transforms☆128Updated last week
- ☆101Updated last week
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- ☆30Updated 4 years ago
- Rethinking machine learning pipelines☆32Updated 10 months ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Decorators for logging purposes for all your dataframes☆14Updated 8 months ago
- SPEAR: Programmatically label and build training data quickly.☆108Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated last month
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆137Updated last week
- scikit-mine : pattern mining in Python☆73Updated 2 years ago
- Scale Optuna with Dask☆35Updated 5 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- A more flexible alternative to scikit-learn Pipelines☆38Updated 3 months ago
- Exploring some issues related to churn☆17Updated last year
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated 2 months ago