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Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.
Adaptive Attention Span in Transformers
Hierarchical Attention Networks for Document Classification in PyTorch
Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, and RoBERTa)
Convolutional Neural Networks for Sentence Classification http://emnlp2014.org/papers/pdf/EMNLP2014181.pdf
Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
Widely Used Data Structure
Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020
Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
categorical variational autoencoder using the Gumbel-Softmax estimator
Hierarchical Attention Networks for document classification
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
A BERT-Based Machine Reading Comprehension Baseline
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Examples and guides for using the OpenAI API
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
pytorch tutorial for beginners
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).
Paper List for Style Transfer in Text
Must-read Papers on Textual Adversarial Attack and Defense
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.