AutoML-Freiburg-Hannover

All

170 repositories

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•0•Updated Feb 4, 2025Feb 4, 2025
scaling-cbs-under-mup
Public
Python
•
MIT License
•0•0•0•0•Updated Feb 4, 2025Feb 4, 2025
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 Feb 4, 2025Feb 4, 2025
arlbench
Public
HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
rl hpo autorl
Python
•
Other
•0•17•6•0•Updated Feb 3, 2025Feb 3, 2025
FOB
Public
Python
•
Apache License 2.0
•4•9•1•1•Updated Jan 31, 2025Jan 31, 2025
GrowNN
Public
Jupyter Notebook
•0•1•0•0•Updated Jan 30, 2025Jan 30, 2025
position_rl_still_doesnt_matter
Public
Jupyter Notebook
•
BSD 3-Clause "New" or "Revised" License
•0•0•0•0•Updated Jan 30, 2025Jan 30, 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
•16•69•37•2•Updated Jan 29, 2025Jan 29, 2025
GoLU
Public
Python
•
MIT License
•0•0•0•0•Updated Jan 29, 2025Jan 29, 2025
hvp
Public
Beyond Random Augmentations: Pretraining with Hard Views (ICLR 2025)
Python
•0•0•0•0•Updated Jan 28, 2025Jan 28, 2025
autorl-org
Public
The AutoRL.org site
HTML
•
Apache License 2.0
•1•3•0•0•Updated Jan 27, 2025Jan 27, 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
•230•1.1k•104•6•Updated Jan 23, 2025Jan 23, 2025
CARP-S
Public
A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
Jupyter Notebook
•
Other
•0•11•36•4•Updated Jan 23, 2025Jan 23, 2025
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•196•8•Updated Jan 22, 2025Jan 22, 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•79•47•0•Updated Jan 16, 2025Jan 16, 2025
ifBO
Public
In-context Bayesian Optimization
Python
•
MIT License
•2•15•0•1•Updated Jan 16, 2025Jan 16, 2025
tabpfn_common_utils
Public
Python
•1•0•0•0•Updated Jan 13, 2025Jan 13, 2025
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
quicktunetool
Public
A framework for QuickTune
Python
•
BSD 3-Clause "New" or "Revised" License
•6•12•0•0•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
hypersweeper
Public
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
Python
•
Other
•4•9•8•0•Updated Jan 8, 2025Jan 8, 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
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•7•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•11•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
OneShotForecastingNAS
Public
Python
•1•1•0•0•Updated Nov 29, 2024Nov 29, 2024
CPR
Public
Constraint Parameter Regularization
Python
•
Apache License 2.0
•2•3•0•0•Updated Nov 22, 2024Nov 22, 2024