#
hyperparameters-optimization
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13 public repositories
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Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Updated
May 6, 2018
Python
Python Scripts and Jupyter Notebooks
Updated
Dec 20, 2021
Jupyter Notebook
The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
Updated
Feb 1, 2017
Jupyter Notebook
Applying Population Based Training on Generative Adversarial Networks.
Updated
Nov 23, 2018
Python
Implementations of Genetic Methods for Financial Machine Learning Applications
Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)
Updated
Sep 9, 2020
Python
Supplementary material for DOLAP 2019 submission
Diferentes processos que podem ser usados para encontrar os hyperparâmetros ótimos em aplicações de Inteligência Artificial.
Updated
Jan 1, 2019
Jupyter Notebook
a CMA-ES based hyperparameter optimization tool for NMT.
Updated
Feb 2, 2018
Python
Updated
Jun 9, 2019
Python
An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.
Updated
Oct 28, 2017
HTML
A library to build and run HyperOpt Hyper Parameter Optimization Schemes
Updated
Mar 4, 2019
Python
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