61 dependents
Package Description Downloads/month
Unified Planning Framework 187K
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization 31K
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization i... 9K
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimiz... 7K
Inference module for YAHPO Gym 6K
Large Language Model Evolutionary Algorithm 5K
up_tamer 5K
Package Containing Modular CMA-ES optimizer 5K
Deep learning tools for digital histology 3K
Smash your AI models 3K
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer ... 2K
Powerful, open-source AI tools for digital pathology. 2K
Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimiz... 2K
Common utilites code of myself 1K
1K
Efficient and generalized blackbox optimization (BBO) system 1K
Birth Annotator for Budding Yeast 1K
Python implementation of "Explaining Hyperparameter Optimization with PDPs" (htt... 914
An Automated Machine Learning system for longitudinal classification built on GA... 896
a library for ML programing created by Samuel Brinkmann 874
Generating Event Data with Intentional Features for Benchmarking Process Mining 783
SBArchOpt: Surrogate-Based Architecture Optimization 701
648
nabenabe0928 tpe
601
Efficient portfolio-based verification of neural network properties 571
Hydra sweeper integration of our favorite optimization packages, utilizing ask-a... 543
A tool for benchmarking and hyper-parameter optimization using TerraTorch. Lever... 485
Based on a fork of the amazing mltrainer and mads_datasets by R. Grouls, tytorch... 483
Fast and Timeout-Free Automated Machine Learning for Multi-Class classification,... 473
Python package for TwinBooster: Synergising Chemical Structures and Bioassay Des... 429
An interactive framework to visualize and analyze your AutoML process in real-ti... 417
MLOS Core Python interface for parameter optimization. 376
A benchmark library for Dynamic Algorithm Configuration. 348
HyperSHAP is a post-hoc explanation method for hyperparameter optimization. 341
CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competitio... 319
HPO tool with a modular API that allows for the easy interfacing of a new Optimi... 309
A Repository for Handling (Meta) Datasets 308
265
SMT design space extension for hierarchical variable handling 248
A wrapper for multi-fidelity benchmarks with priors 245
Fractional K-fold cross-validation for hyperparameter optimization 226
A framework for QuickTune 216
Python Boilerplate that contains all the code you need to create a Python packag... 206
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How 205
A lightweight framework for benchmarking HPO algorithms 203
A tiny, flexible configuration space compression library for Bayesian Optimizati... 202
The first collection of surrogate benchmarks for Joint Architecture and Hyperpar... 193
Scikit-Learn interface for CINET PyTorch siamese neural network 176
Benchmark for contextual RL 167
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimiz... 154