Code for my master thesis in Deep Learning: "Generating answers to medical questions using recurrent neural networks"
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Updated
Jul 16, 2017 - Python
Code for my master thesis in Deep Learning: "Generating answers to medical questions using recurrent neural networks"
N-Gram language model that learns n-gram probabilities from a given corpus and generates new sentences from it based on the conditional probabilities from the generated words and phrases.
Language Modelling, CMI vs Perplexity
Distributed tensorflow port for character rnn
Spelling correction and grammar detection with statistical language models
Transformer Based SeqGAN for Language Generation
An Implementation One of Natural Language Processing Method : Language Modelling
This code project is associated with my master thesis (at the company Omicron Ceti AB) that I have done during spring 2019 at Royal Institute of Technology. The report, to which the code project is associated, is included in this Github repository as "report.pdf".
In this project we will generate the sentences using ngrams
Introduce basic nlp tasks and methods with examples
Pytorch implementation of MaskGAN
Contextualised Embeddings and Language Modelling using BERT and Friends using R
Reproduction of CIFAR-10/CIFAR-100 and Penn Treebank experiments to test claims in "LookaheadOptimizer: k steps forward, 1 step back" https://arxiv.org/abs/1907.08610
Reproduction of CIFAR-10/CIFAR-100 and Penn Treebank experiments to test claims in "LookaheadOptimizer: k steps forward, 1 step back" https://arxiv.org/abs/1907.08610
A simple series of programs to train gated recurrent neural networks with PyTorch and generate text based on them.
State-of-the-Art Language Modelling in Python with PyTorch.
PyTorch implementations of word embeddings and language modelling.
This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann and Christian Bizer.
Natural Language Processing topics and projects.
Sequence CNN network inspired by the WaveNet architecture written in both Tensorflow and PyTorch.
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