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Name: Niall Taylor
Type: User
Company: University of Oxford
Bio: PhD student at University of Oxford studying NLP applicaitons for limited resource clinical settings
Name: Niall Taylor
Type: User
Company: University of Oxford
Bio: PhD student at University of Oxford studying NLP applicaitons for limited resource clinical settings
An open-source NLP research library, built on PyTorch.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
Online demo of the paper "Unsupervised Document Summarization using pre-Trained Sentence Embeddings and Graph Centrality" published in the Second Scholarly Document Processing Workshop at NAACL-HLT 2021.
A curated list of resources dedicated to text summarization
Collection of badges for indicating the state of a project
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
Easy to use extractive text summarization with BERT
Bert Abstractive Summarization of Online News Discussion Threads
A new approach to extract clinical summaries from discharge notes
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Code for paper Fine-tune BERT for Extractive Summarization
An awesome README template to jumpstart your projects!
A combination of k-means clustering and Apriori frequent itemset mining on the concepts obtained using application of UMLS concept mapping on Biomedical Text to achieve summarization.
A Python implementation of the BM25 ranking function.
GPU-Powered Topic Modelling
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Clinical text summarization by adapting large language models
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Exploring attention weights in transformer-based models with linguistic knowledge.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
An interpretable and efficient predictor using pre-trained language models. Scikit-learn compatible.
multilabel classification of EHR notes
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
A python package for benchmarking interpretability techniques.
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.