Learning to Generate GUI Designs Using Generative Adversarial Networks
Graphical User Interface (GUI) is ubiquitous in almost all modern desktop software, mobile applications and online websites.
Search photos on Unsplash using natural language
The search is powered by OpenAI's CLIP model and the Unsplash Dataset.
The Power of Spark NLP, the Simplicity of Python
1 line for hundreds of NLP models and algorithms.
A community-built high-quality repository of NLP corpora
This project aims to collect a shared repository of corpora useful for NLP researchers, available inside UW.
Measuring stereotypical bias in pretrained language models
This repository contains an extensible codebase to measure stereotypical bias on new pretrained models, as well as code to replicate our results.
Twitter Sentiment Analysis - Classical Approach VS Deep Learning
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model.
An end-to-end speech processing toolkit
ESPnet is an end-to-end speech processing toolkit, mainly focuses on end-to-end speech recognition and end-to-end text-to-speech.
Adversarial training and data augmentation for neural question-answering models
KitanaQA: Adversarial training and data augmentation for neural question-answering models.
A large medical text dataset curated for abbreviation disambiguation
Repository for Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL)
A text-to-speech conversion library in Python
pyttsx3 is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline.
Generate questions and summaries for your texts
Input your text and get questions and summaries in return!
Scanning Single Shot Detector for Math in Document Images
A PyTorch implementation of ScanSSD Scanning Single Shot MultiBox Detector by Parag Mali. It was developed using SSD implementation by Max deGroot.
BERT for Joint Intent Classification and Slot Filling
(Unofficial) Pytorch implementation of JointBERT: BERT for Joint Intent Classification and Slot Filling.
Birds of a Feather, from Statistical Descriptors to Parametric Models
"Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models."
Blazing speed using a T5 version implemented in ONNX
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX.
A programming library for clustering text
Carrot2 is a programming library for clustering text. It can automatically discover groups of related documents and label them with short key terms or phrases.
A python framework designed to compute features from speech files
python freamework to extract features from speech.
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow
A pre-trained language model for English Tweets
A pre-trained language model for English Tweets.
A toolkit that provides a off-the-shelf framework to implement lots of NLP extraction tasks
OpenUE is an open-source toolkit that provides a off-the-shelf framework to implement lots of NLP extraction tasks.