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.
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
Deep learning models in Python
Generating High-Quality Query Suggestion Candidates for Task-Based Search - ECIR'18
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.
Creating a Neural Language Model using LSTMs and calculating perplexity score of the model.
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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