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Name: Adrian Böck
Type: User
Name: Adrian Böck
Type: User
An NLP system for generating reading comprehension questions
This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
CMPUT 497 Project: SemEval 2019 Task 5 Shared Task on Multilingual Detection of Hate
Sentence Embeddings with BERT & XLNet
Named Entity Recognition (LSTM + CRF + FastText) with models for [historic] German
Detecting sexist comments in social media texts using syntactic/semantic graphs and rules
skweak: A software toolkit for weak supervision applied to NLP tasks
A system for quickly generating training data with weak supervision
A tokenizer and sentence splitter for German and English web and social media texts.
A new release of Chinese sexism dataset and lexicon
Fine-tuning of mT5 and T5 for language prediction
t5qg, a python library to finetune T5 on question generation and provide API to host the model prediction. For the model training, we rely on the multitasking objective where the models are optimized for the question answering and the answer extraction in addition to the question generation following huggingface tutorial.
Jupyter Notebooks for Google's T5 based on the simpletransformers library.
specialties classification of medical reports using T5
Extracts table data from image and converts to excel file using East text detection and Tesseract OCR
Using Bidirectional LSTM how to generate text summaries from structure table data.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
generate questions and summaries for your texts
all kinds of text classification models and more with deep learning
Text summarization with python and transformer
This repository demonstrate training T5 transformers using tensorflow 2
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Unsupervised machine learning methods to detect and classify anomalies in streaming data. We apply this to the viral event, TwitchPlaysPokemon, and attempt to identify trolls in a live IRC chat.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.