Active semi-supervised clustering algorithms for scikit-learn
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
A basic in memory Graph DB built using Python
An amortized approach for calculating local Shapley value explanations
Implementation of Flexible Conditional Density Estimator
Fuzzy Logic and Fuzzy Inference for Python 3
Fuzzy machine learning algorithms implementing the scikit-learn interface.
lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
Detecting Statistical Interactions from Neural Network Weights
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Allows to create .npy files that are larger than the main memory
Optimised tools for group-indexing operations: aggregated sum and more
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
[HELP REQUESTED] Generalized Additive Models in Python
Metadata-aware machine learning.
Semi-supervised isolation forest
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Probabilistic prediction with XGBoost.