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Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
A bestiary of evolutionary, swarm and other metaphor-based algorithms
Introduction to UNIX Tools
Best Practices Living Document
NeurIPS 2020 Competition and Demonstration Track
Repositories
33Introduction to UNIX Tools
Best Practices Living Document
No description provided.
NeurIPS 2020 Competition and Demonstration Track
An (in-progress) AutoML survey focusing on practical systems.
Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
A bestiary of evolutionary, swarm and other metaphor-based algorithms
No description provided.
No description provided.
Few Shot Bayesian Optimization
Latex Template for AutoML-Conf
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
Sphinx extension for automatic generation of an example gallery
Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks
No description provided.
Meta-feature extractor
No description provided.
python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
Multi-Information Source Optimization
Bayesian Optimization of Combinatorial Structures
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Kernels for Bayesian Optimization in Conditional Parameter Spaces
scikit-learn: machine learning in Python
No description provided.
Fixing Weight Decay Regularization in Adam
No description provided.
No description provided.
A library for read and write ARFF files in Python
Python implementation for systematic generation of metafeatures.