Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
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Updated
Apr 25, 2019 - Python
Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Lyrics crawling, pre-processing, embedding generation, model training, and lyrics generation - all in one tool
Markov model manually implemented that predicts words probabilistically based on historic data.
Draw UI for colab, useful to take hand writings from mouse in colab itself
N-gram ile Sonraki Kelime Tahmini
Configuration et évaluation d'un système de prédiction de mots au sein d'un logiciel de Communication Améliorée et Alternative (CAA) pour personnes handicapées : Étude de Presage et ACAT
English Word Suggestion Based on POS-Ngram
Implemented BiDirectional Long Short- Term Memory (BiLSTM) to build a Future Word Prediction model. The project involved training these models using large datasets of textual data and tuning hyperparameters to optimize the accuracy of the model.
Analyze your WhatsApp chats and get word suggestions based on your chat history while writing!
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