Library for automatic retraining and continual learning
-
Updated
Sep 30, 2024 - Python
Library for automatic retraining and continual learning
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Applying Population Based Training on Generative Adversarial Networks.
Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)
a CMA-ES based hyperparameter optimization tool for NMT.
A library to build and run HyperOpt Hyper Parameter Optimization Schemes
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."