Advanced file format fuzzer based-on deep neural language models.
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Updated
Apr 13, 2023 - Python
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.
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)
Creating a Neural Language Model using LSTMs and calculating perplexity score of the model.
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.
N-gram and neural word-level language models
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