Language Identification classification using XGBoost
-
Updated
Feb 27, 2021 - Python
#
wili-2018-dataset
Here are 5 public repositories matching this topic...
🌐 Language identification for Scandinavian languages
docker flask grafana s3 language-detection prometheus pytorch lstm cicd language-identification mlflow wili-2018-dataset ml-pipeline pytorch-lstm ml-serving mlflow-pytorch mlflow-docker ml-deployment mlflow-ui ml-monitoring
-
Updated
Jan 5, 2021 - Python
Language Identification Models
-
Updated
Oct 8, 2018 - Python
🎓 4th year Advanced Object Oriented Programming project. A web-based service capable of identifying the language classification of a submitted body of text. The OutOfPlaceMetric is used to compare the distance i.e. the similarity, of the text and the actual language of the text. A database is built from the subject file and is split into k-mers,…
-
Updated
Jan 5, 2020 - CSS
🎓 4th year Artificial Intelligence project. Using the Encog library, it uses vector hashing in conjunction with K-Fold Cross Validation to train a neural network using the WiLI Language Dataset. This neural network can then be used to predict the language of an input.
java machine-learning neural-network encog resilient-propagation kfold-cross-validation wili-2018-dataset
-
Updated
May 21, 2020 - Java
Improve this page
Add a description, image, and links to the wili-2018-dataset topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the wili-2018-dataset topic, visit your repo's landing page and select "manage topics."