bkuwahara

bkuwahara's Stars

• StatMixedML/XGBoostLSS

  An extension of XGBoost to probabilistic modelling

  Language:Python57260

• gavin-s-smith/mcrforest

  Language:Python64

• HsiangHsu/rashomon-capacity

  Language:Python41

• AmanDaVinci/SENN

  Self-Explaining Neural Networks

  Language:Jupyter Notebook397

• NorskRegnesentral/shapr

  Explaining the output of machine learning models with more accurately estimated Shapley values

  Language:R15034

• PouyaShati/tree_clstr

  Language:Java1

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k937

• steven9909/ai-alignment-project

  Language:Jupyter Notebook1

• jonathanmli/Avalon-LLM

  This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'

  Language:Python888

• andyzoujm/representation-engineering

  Representation Engineering: A Top-Down Approach to AI Transparency

  Language:Jupyter Notebook76288

• QuMuLab/pdkb-planning

  Project for converting multi-agent epistemic planning problems to automated planning problems. Also includes utilities for dealing with Proper Doxastic Knowledge Bases (PDKBs).

  Language:Python229

• probcomp/gen-quickstart

  Gen learning material as Jupyter notebooks

  Language:Jupyter Notebook12750