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Type: User
Company: University of Edinburgh
Bio: Studies Artificial Intelligence
Type: User
Company: University of Edinburgh
Bio: Studies Artificial Intelligence
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Data and software for building the ACL Anthology.
This repository contains code for paper "To Adapt or to Fine-tune: A Case Study on Abstractive Summarization" which appears in CCL 2022.
An open-source NLP research library, built on PyTorch.
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)
Neural Image Captioning in TensorFlow.
Repository for DA experiments
The fastai deep learning library, plus lessons and tutorials
Data processing and analysing challenge given by FreeAgent
This repository contains code for the EMNLP 2020 Findings paper "Reducing Quantity Hallucinations in Abstractive Summarization".
Introductory Applied Machine Learning (INFR09029)
The repository of IOT challenges
This repository contains code for the paper "A Joint Matrix Factorization Analysis of Multilingual Representations" which appears in EMNLP2023 Findings
PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning
Control Parrot AR drone 2.0 with Leap Motion
Machine Learning Practical course repository
Code and data for the NAACL 2022 paper "Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models".
Open Source Neural Machine Translation in PyTorch
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)
predict the success of GitHub R repo
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
Study materials created by myself for revision for University of Edinburgh's School of Informatics' exams.
Robustness of attention and fine-tuning image warping, distortion and blurring for image captioning
The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pivot Based Language Modeling for Improved Neural Domain Adaptation", NAACL 2018
This repository contains code for the paper "Understanding Domain Learning in Language Models Through Subpopulation Analysis" which appears in BlackBoxNLP 2022
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.