Advanced file format fuzzer based-on deep neural language models.

Generating text sequences using attention-based Bi-LSTM

Implementation of "A Neural Probabilistic Language Model" by Yoshua Bengio et al. - Tensorflow

Improving Language Model Performance through Smart Vocabularies

Materials for the MSc Thesis "Interpreting Neural Language Models for Linguistic Complexity Assessment" and related works.

Classification of case.law cases by landmark cases from www.law.cornell.edu

Implementation of a simple neural language model (multi-layer perceptron) from scratch for next word prediction

Generating High-Quality Query Suggestion Candidates for Task-Based Search - ECIR'18

Deep learning models in Python

Language Modeling using Recurrent Neural Networks implemented over Tensorflow 2.0 (Keras) (GRU, LSTM)

Pytorch implementation of a simple GRU word-level language model trained on Donald Trump's tweets.

Pytorch based Neural Network Language Modeling (NNLM) Toolkit for easier and faster NNLM research and development. Result of my Master's Thesis work.

Creating a Neural Language Model using LSTMs and calculating perplexity score of the model.

N-gram and neural word-level language models