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

Improving Language Model Performance through Smart Vocabularies

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.

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

Deep learning models in Python

N-gram and neural word-level language models

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

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

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

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

Generating text sequences using attention-based Bi-LSTM

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