a CMA-ES based hyperparameter optimization tool for NMT.
-
Updated
Feb 2, 2018 - Python
a CMA-ES based hyperparameter optimization tool for NMT.
A library to build and run HyperOpt Hyper Parameter Optimization Schemes
Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)
Applying Population Based Training on Generative Adversarial Networks.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Library for automatic retraining and continual learning
Add a description, image, and links to the hyperparameters-optimization topic page so that developers can more easily learn about it.
To associate your repository with the hyperparameters-optimization topic, visit your repo's landing page and select "manage topics."