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Leonard Papenmeier's Projects

alebo icon alebo

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

baxus icon baxus

This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier, Luigi Nardi, and Matthias Poloczek)

blitzerdatatransformer icon blitzerdatatransformer

A small java program to transform the datasets provided by http://www.cs.jhu.edu/~mdredze/datasets/sentiment/processed_acl.tar.gz to json file format.

bounce icon bounce

Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"

hesbo icon hesbo

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

high-dim-es-rl icon high-dim-es-rl

Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies

keras-vis icon keras-vis

Neural network visualization toolkit for keras

la-mcts icon la-mcts

High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm

lassobench icon lassobench

Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

numpy icon numpy

The fundamental package for scientific computing with Python.

polyaxon icon polyaxon

A platform for reproducible and scalable machine learning and deep learning on kubernetes

pycma icon pycma

Python implementation of CMA-ES

pysmac icon pysmac

simple python interface to SMAC.

reviewcrawler icon reviewcrawler

review crawler to collect review texts from review id corpus

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