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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Student contest in training the best CV classifier with https://teachablemachine.withgoogle.com/train/image
This repository belongs to our paper "Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models". In the paper we benchmark and asses the assume…
reuse is a tool for compliance with the REUSE recommendations.
An implementation of M5 and model trees in python, compliant with scikit-learn.
This repository contains code for the ICML paper "Simple Disentanglement of Style and Content in Visual Representations"
Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM).
🐙 Generalized additive models in Python with a Bayesian twist
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A curated list of Large Language Model (LLM) Interpretability resources.
disentanglement_lib is an open-source library for research on learning disentangled representations.
Build a simple locally hosted version of ChatGPT in less than 100 lines of code
Code for Implicit Generation and Generalization with Energy Based Models
SelfExplainML / GamiNet
Forked from ZebinYang/gaminetGAMI-Net: Generalized Additive Models with Structured Interactions
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
Datasets for Hate Speech Detection
Die wichtigsten APIs Deutschlands in einem Python Paket.