A library & tools to evaluate predictive language models.
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Updated
Aug 9, 2023 - Python
A library & tools to evaluate predictive language models.
This is machine learning model that is trained to predict next word in the sequence. Model is defined in keras and then converted to tensorflow-js model for the web, check the web implementation at
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
Machine learning project using federated learning for text generation
A language modeling project for predicting the next word that a user will type
Predict the future words efficiently with the "Next Word Prediction Using Markov Model" project. Built in Python and powered by the `msvcrt` module, this academic initiative explores the Markov chain model to anticipate the most likely next word based on a given sequence.
Implementation of a simple neural language model (multi-layer perceptron) from scratch for next word prediction
A program which guesses next words based on the user's input. Suggestions are the words with the highest probability to follow what has been already written, calculated in the n_grams of different size.
Language Modeling using Recurrent Neural Networks implemented over Tensorflow 2.0 (Keras) (GRU, LSTM)
Text auto-completion system using the bert-base-uncased model by Hugging Face in the backend. Designed to enhance user experience across various applications, it anticipates and suggests word sequences as users type.
TensorFlow Next Word Prediction Model on Heroku
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