Topic: hyperparameters-optimization Goto Github
Some thing interesting about hyperparameters-optimization
Some thing interesting about hyperparameters-optimization
hyperparameters-optimization,Applying Population Based Training on Generative Adversarial Networks.
User: angusfung
hyperparameters-optimization,Supplementary material for DOLAP 2019 submission
User: aquemy
Home Page: https://aquemy.github.io/DOLAP_2019_supplementary_material/
hyperparameters-optimization,Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)
User: aurelienmorgan
hyperparameters-optimization,Library for automatic retraining and continual learning
Organization: awslabs
Home Page: https://renate.readthedocs.io
hyperparameters-optimization,Python Scripts and Jupyter Notebooks
User: dc-aichara
hyperparameters-optimization,This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.
User: giuliots95
hyperparameters-optimization,Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
User: guillaume-chevalier
hyperparameters-optimization,Classification-Techniques-For-Fraud-Detection
User: hands-on-fraud-analytics
hyperparameters-optimization,Implementations of Genetic Methods for Financial Machine Learning Applications
User: iffranciscome
hyperparameters-optimization,Diferentes processos que podem ser usados para encontrar os hyperparâmetros ótimos em aplicações de Inteligência Artificial.
User: igoracmorais
hyperparameters-optimization,A library to build and run HyperOpt Hyper Parameter Optimization Schemes
User: jw-mcgrath
hyperparameters-optimization,a CMA-ES based hyperparameter optimization tool for NMT.
User: marvinzh
hyperparameters-optimization,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.
User: mekhod
hyperparameters-optimization,Machine Learning in R
Organization: mlr-org
Home Page: https://mlr.mlr-org.com
hyperparameters-optimization, I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.
User: moddy2024
hyperparameters-optimization,
User: pfalkowski
hyperparameters-optimization,Hyperparameter, Make configurable AI applications.Build for Python hackers.
User: reiase
Home Page: https://reiase.github.io/hyperparameter/
hyperparameters-optimization,The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
User: yassinealouini
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