There are 6 repositories under text-prediction topic.
Text Classification by Convolutional Neural Network in Keras
Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.
😵💫 A Recurrent Neural Network (RNN) hallucinating solidity source code.
A trigram language model using NLTK to predict the next word of a phrase
🌄 Search images through text by writing a caption or a description. You will be intelligently assisted while typing.
This project implements Markov analysis for text prediction from a given text file. Utilizes urllib.request to read text file from project gutenberg.
An easy text prediction package that doesn't use a complicated neural network.
A quick start Vue project that helps you to create an AutoComplete component of Syncfusion using Vue CLI. You will also learn how to populate JSON data and remote data sources to the AutoComplete, how to highlight the searched text, and how to set a custom height and width to the AutoComplete popup.
Creation of a text prediction algorithm and web application using newspaper extracts from SwiftKey and n-grams from COCA.
A simple Swift implementation of word suggestion using n-gram probabilistic model
Repository with Deep Learning implementations in Jupyter Notebooks
Naive Solution for Course 10 JHU Data Science Specialization
GAE-Bag-of-Words (GAE-BoW) is an NLP-Machine Learning model helps students in finding their training and professional paths.
Generate text in the style of Shakespearean English using Recurrent Neural Networks.
Finite Context Model text generator based in F.C Shannon paper
Text prediction and generation through LSTM Neural Network with Tensorflow. 3rd assignment of the Deep Learning Lab course at Università della Svizzera Italiana (USI) Lugano.
Text prediction in Java using a Markov Chain.
Implementing Hidden MarkovModel to generate new text and complete sentences
TextFlow: A Streamlit app providing text correction and autocomplete functionalities using n-grams and LSTM models. It corrects text and predicts the next words with customizable settings.
NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)
Generate text in the style of Shakespearean English using Recurrent Neural Networks.
Text classification and text generation using various deep learning models.
Predicting hindi texts based on a charecter level prediction using LSTM models
CleverTerm is a prototype LSTM model trained on bash history, capable of generating suggestions for the next Linux command based on previous user input. The project is licensed under GPL v3 and uses bash history data from various sources, including Kaggle datasets and GitHub repositories.
Text label prediction with different input methods : frequency, topic and word embedding
Coursera JHU Data Science Specialization: Capstone Project
Wordlist for Armenian text prediction used by Keyman.
Wordlist for Russian text prediction used by Keyman.
This script leverages the BERT model for text exploration by predicting masked tokens within a given text.
text autocompletion system using N-gram language models with prefix-based filtering and Add-k smoothing. Processes JSON datasets to provide probability-ranked word suggestions for interactive text completion.
This repository contains an implementation of text classification and prediction using Logistic Regression. The project applies Natural Language Processing (NLP) techniques to process text data and train a model for classification tasks.
This repository contains an implementation of text prediction and sentiment classification on movie reviews. The project utilizes deep learning models to predict words in a given text sequence and classify movie reviews as positive or negative.
Explores Recurrent Neural Networks using PyTorch.
Markov chain implementation optimized for large bodies of text
Foretell words in Hamlet’s tongue