[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.

Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!

Fuzzy Logic and Fuzzy Inference for Python 3

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

An amortized approach for calculating local Shapley value explanations

CGA2M_plus is a Python package of Constraint GA2M plus(CGA2M+), which we proposed. CGA2M+ is a model that improves GA2M in two respects: interpretability and accuracy.

Scikit learn compatible constrained and robust polynomial regression in Python

Probabilistic prediction with XGBoost.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based m…

Probabilistic Random Forest: A machine learning algorithm for noisy datasets

[HELP REQUESTED] Generalized Additive Models in Python

Generalized additive model with pairwise interactions

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)

Semi-supervised isolation forest

Random Forests for Conditional Density Estimation

For calculating Shapley values via linear regression.

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.

A friendly python library for fuzzy logic reasoning

Allows to create .npy files that are larger than the main memory

Metadata-aware machine learning.

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Interpretation of Isolation Forests

SK-MOEFS is a Python toolbox that enables data scientists to build, train, and evaluate Multi-Objective Evolutionary Fuzzy Systems