Pinned Repositories
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
auto-sklearn
Automated Machine Learning with scikit-learn
autoweka
Auto-WEKA
awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
HpBandSter
a distributed Hyperband implementation on Steroids
HPOBench
Collection of hyperparameter optimization benchmark problems
NASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
RoBO
RoBO: a Robust Bayesian Optimization framework
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
AutoML-Freiburg-Hannover's Repositories
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
automl/TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
automl/CARL
Benchmarking RL generalization in an interpretable way.
automl/RobustDARTS
Understanding and Robustifying DARTS
automl/CAAFE
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).
automl/fanova
Functional ANOVA
automl/nasbench301
automl/zero-shot-automl-with-pretrained-models
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
automl/PFNs4BO
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
automl/nes
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
automl/pynisher
automl/is_mamba_capable_of_icl
automl/learna_tools
A command line interface to the generative RNA design approaches LEARNA, Meta-LEARNA, Meta-LEARNA-Adapt and libLEARNA.
automl/submitit
Local Fork of Submitit
automl/hydra-smac-sweeper
Sweeper plugin based on SMAC for Hydra.
automl/CPR
Constraint Parameter Regularization
automl/DontWasteYourTime-early-stopping
Experiments for pipelines
automl/hydra_tutorial
AutoML Fall School 23
automl/lmem-significance
This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks, using a Linear Mixed-Effects Model-based approach.
automl/RnaBench
A Benchmark Library for RNA
automl/dmlr-iclr24-datasets-for-benchmarking
Code and results accompanying the DMLR@ICLR'24 paper "Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning"
automl/interactive-mo-ml
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
automl/lm-evaluation-harness-de
A framework for few-shot evaluation of language models.
automl/OneShotForecastingNAS
automl/symbolic-explanations
automl/quicktune
We meta-learn a gray-box performance predictor on the learning curves and use it for fast hyperparameter optimization on new datasets. We empirically demonstrate that our resulting approach can quickly select an accurate pretrained model for a new dataset together with its optimal hyperparameters.
automl/CARP-S-template
A template repository for benchmarking your optimizer with CARP-S
automl/RNAinformer
automl/TangleNAS
Official repo for the paper TangleNAS: Weight Entanglement meets One-Shot Optimization