wili-2018-dataset

There are 0 repository under wili-2018-dataset topic.

PhilWicke / Language_Identifier
Language Identification classification using XGBoost
classification language-identification nlp wili-2018-dataset xgboost
Language:Python 1
varvarvarvar / language_identification
:globe_with_meridians: Language identification for Scandinavian languages
prometheus grafana pytorch mlflow docker s3 flask language-identification mlflow-docker mlflow-ui lstm pytorch-lstm language-detection mlflow-pytorch ml-monitoring ml-pipeline ml-serving ml-deployment cicd wili-2018-dataset
Language:Python 1
davidmrau / dl4nlp
Language Identification Models
nlp language-detection mlp rnn pytorch wili-2018-dataset
Language:Python 0
kevinniland / Asynchronous-Language-Detection
:mortar_board: 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, which are ranked based on their frequency.
java servlet wili-2018-dataset languagedetector
Language:CSS 0
kevinniland / Language-Detection-Neural-Network-with-Vector-Hashing
:mortar_board: 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.
neural-network wili-2018-dataset encog java machine-learning kfold-cross-validation resilient-propagation
Language:Java

wili-2018-dataset

PhilWicke / Language_Identifier

varvarvarvar / language_identification

davidmrau / dl4nlp

kevinniland / Asynchronous-Language-Detection

kevinniland / Language-Detection-Neural-Network-with-Vector-Hashing