chenyangh

DSLP

Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

chenyangh

CNAT

Non-autoregressive Translation by Learning Target Categorical Codes

Emotionator

The best emotion detector on this planet 🌍

LSTM_emo_classifier

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

sacrebleu

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

vision_transformer

Awesome-Text-Diffusion-Models

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

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.

benchmarks

Collection of benchmarks written by researchers at Amii

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"

eflomal

Efficient Low-Memory Aligner

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

fairseq-1

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fairseq2

FAIR Sequence Modeling Toolkit 2

Fully-NAT

giza-py

A simple, Python-based, command-line runner for MGIZA++.

GLUE-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

GMA

Code for ACL 2022 findings paper "Gaussian Multi-head Attention for Simultaneous Machine Translation"

MoE-Waitk

Code for EMNLP 2021 oral paper "Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy"

NAG-BERT

[EACL'21] Non-Autoregressive with Pretrained Language Model

OTTAWA

POINTER

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

REDER

[NeurIPS 2021] Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

tensor2struct-public

Semantic parsers based on encoder-decoder framework

terashuf

terashuf shuffles multi-terabyte text files using limited memory