AutoML-Freiburg-Hannover

All

166 repositories

mdp-playground
Public
A python package to design and debug RL agents.
benchmarking benchmark reinforcement-learning testbed
Python
•
Apache License 2.0
•7•28•0•3•Updated Jan 10, 2025Jan 10, 2025
CARP-S
Public
A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
Jupyter Notebook
•
Other
•0•11•35•4•Updated Jan 10, 2025Jan 10, 2025
hpoglue
Public
HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark
Python
•
BSD 3-Clause "New" or "Revised" License
•0•3•1•1•Updated Jan 10, 2025Jan 10, 2025
quicktunetool
Public
A framework for QuickTune
Python
•
BSD 3-Clause "New" or "Revised" License
•5•12•0•0•Updated Jan 9, 2025Jan 9, 2025
neps
Public
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
hyperparameter-optimization automl neural-architecture-search neural-pipeline-search deep-learning
Python
•
Apache License 2.0
•13•64•36•7•Updated Jan 9, 2025Jan 9, 2025
hposuite
Public
Python
•
BSD 3-Clause "New" or "Revised" License
•0•2•1•0•Updated Jan 9, 2025Jan 9, 2025
autorl-org
Public
The AutoRL.org site
Ruby
•
Apache License 2.0
•1•3•0•1•Updated Jan 8, 2025Jan 8, 2025
SMAC3
Public
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process
Python
•
Other
•229•1.1k•104•8•Updated Jan 8, 2025Jan 8, 2025
DeepCAVE
Public
An interactive framework to visualize and analyze your AutoML process in real-time.
visualization real-time analysis interactive hyperparameters automl sampling-bias iml hyperparameter-importance
Python
•
Apache License 2.0
•11•75•47•1•Updated Jan 8, 2025Jan 8, 2025
hypersweeper
Public
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
Python
•
Other
•2•9•8•0•Updated Jan 8, 2025Jan 8, 2025
tabpfn_common_utils
Public
Python
•1•0•0•0•Updated Jan 7, 2025Jan 7, 2025
FOB
Public
Python
•
Apache License 2.0
•4•9•1•1•Updated Jan 7, 2025Jan 7, 2025
quicktune
Public
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.
Apache License 2.0
•0•0•0•0•Updated Dec 30, 2024Dec 30, 2024
Mighty
Public
The Mighty cRL library you've been looking for! 💪
reinforcement-learning carl contextual-reinforcement-learning dynamic-algorithm-configuration dacbench
Python
•
Apache License 2.0
•0•17•18•0•Updated Dec 17, 2024Dec 17, 2024
llms_feature_engineering_bias
Public
LLMs Feature Engineering Bias [UNDER CONSTRUCTION]
machine-learning tabular-data feature-engineering llm
Python
•1•4•0•0•Updated Dec 14, 2024Dec 14, 2024
Drift-Resilient_TabPFN
Public
Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in tabular data, outperforming existing methods in terms of performance and calibration.
0•5•0•0•Updated Dec 9, 2024Dec 9, 2024
HW-GPT-Bench
Public
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
Python
•
Apache License 2.0
•3•18•5•0•Updated Dec 6, 2024Dec 6, 2024
dmlr-iclr24-datasets-for-benchmarking
Public
Code and results accompanying the DMLR@ICLR'24 paper "Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning"
Jupyter Notebook
•
Apache License 2.0
•0•0•0•0•Updated Dec 4, 2024Dec 4, 2024
unlocking_state_tracking
Public
Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without added training or inference costs.
parity rnn mamba state-space-model deltanet state-tracking
Python
•0•9•0•0•Updated Dec 1, 2024Dec 1, 2024
LCBench
Public
A learning curve benchmark on OpenML data
Jupyter Notebook
•
Apache License 2.0
•9•30•3•0•Updated Nov 29, 2024Nov 29, 2024
auto-sklearn
Public
Automated Machine Learning with scikit-learn
scikit-learn hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning smac meta-learning hyperparameter-search metalearning
Python
•
BSD 3-Clause "New" or "Revised" License
•1.3k•7.7k•195•8•Updated Nov 29, 2024Nov 29, 2024
OneShotForecastingNAS
Public
Python
•1•1•0•0•Updated Nov 29, 2024Nov 29, 2024
scaling-cbs-under-mup
Public
Python
•
MIT License
•0•0•0•0•Updated Nov 28, 2024Nov 28, 2024
arlbench
Public
HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
rl hpo autorl
Python
•
Other
•0•17•5•0•Updated Nov 26, 2024Nov 26, 2024
ifBO
Public
In-context Bayesian Optimization
Python
•
MIT License
•2•15•0•1•Updated Nov 25, 2024Nov 25, 2024
CPR
Public
Constraint Parameter Regularization
Python
•
Apache License 2.0
•2•3•0•0•Updated Nov 22, 2024Nov 22, 2024
ConfigSpace
Public
Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
Python
•
Other
•95•206•27•3•Updated Nov 21, 2024Nov 21, 2024
PFNs
Public
Our maintained PFN repository. Come here to train SOTA PFNs.
Jupyter Notebook
•
Apache License 2.0
•10•55•3•0•Updated Nov 20, 2024Nov 20, 2024
NASLib
Public
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.
nas neural-architecture-search automl
Python
•
Apache License 2.0
•117•536•27•8•Updated Nov 11, 2024Nov 11, 2024
lmem-significance
Public
This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks, using a Linear Mixed-Effects Model-based approach.
Jupyter Notebook
•
MIT License
•0•2•0•0•Updated Nov 1, 2024Nov 1, 2024