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In-class examples for 590PR
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Interpretability and explainability of data and machine learning models
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
This repository is all about papers and tools of Explainable AI
AMR Parsing via Graph-Sequence Iterative Inference
AMR-parser. Code for EMNLP2019 paper "Core Semantic First: A Top-down Approach for AMR Parsing."
🖼️ Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017. Expanded : Towards Personalized Image Captioning via Multimodal Memory Networks. In IEEE TPAMI, 2018.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A curated list of image captioning and related area resources. :-)
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Mapping a variable-length sentence to a fixed-length vector using BERT model
Easy to use extractive text summarization with BERT
Elasticsearch with BERT for advanced document search.
BioBERT: a pre-trained biomedical language representation model
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
CoClean: Collaborative Data Cleaning
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Python libraries for Google Colaboratory
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.