chenyangh Goto Github PK

adversarial-learning-for-neural-dialogue-generation-in-tensorflow

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

algorithms-sedgewick-wayne

Solutions to the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-super-resolution

A curated list of awesome super-resolution resources.

awesome-text-diffusion-models

[IJCAI'23] The official Github page of the paper "Diffusion Models for Non-autoregressive Text Generation: A Survey".

backup_lib

bang

BANG is a new pretraining model to Bridge the gap between Autoregressive (AR) and Non-autoregressive (NAR) Generation. AR and NAR generation can be uniformly regarded as to what extent previous tokens can be attended, and BANG bridges AR and NAR generation by designing a novel model structure for large-scale pretraining. The pretrained BANG model can simultaneously support AR, NAR and semi-NAR generation to meet different requirements.

bash-it

A community Bash framework.

basnet

Code for paper. BASNet: Boundary Aware Salient Object Detection

benchmarks

Collection of benchmarks written by researchers at Amii

bert

TensorFlow code and pre-trained models for BERT

bert-1

a simple yet complete implementation of the popular BERT model

binary-segmentation-evaluation-tool

This repo is developed for providing a evaluation library for binary image segmentation. Measures, such as MAE, Precision, Recall, F-measure, IoU and so on, will be included.

card2code

A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.

cascaded-generation

Cascaded Text Generation with Markov Transformers

cbet-dataset

Cleaned Balanced Emotional Tweets (CBET) Dataset

chenyangh

chenyangh.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

cmlmc

Code for the ICLR'22 paper "Improving Non-Autoregressive Translation Models Without Distillation"

cmput-566-mini-proj

cmput-651-uofa

cnat

Non-autoregressive Translation by Learning Target Categorical Codes

compound-pcfg

control-length

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

conversational-datasets

Datasets for conversational AI

converse_gan

crfsuite

Tree-Structured, First- and Higher-Order Linear Chain, and Semi-Markov CRFs