fandongmeng Goto Github PK

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

bert

TensorFlow code and pre-trained models for BERT

blocks-examples

Examples and scripts using Blocks

bmi-nmt

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cbmi

clidsum

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

cross-domain_ner

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

distro

Torch installation in a self-contained folder

dl4mt-material

dtmt_indec

Implementation of DTMT with incremental decoding

fairseq

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

fandongmeng.github.com

My online resume

gcdt

Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

graph-one

lisa

Linguistically-Informed Self-Attention implemented in TensorFlow

mem2seq

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

msctd

Code and Data for the ACL22 main conference paper "MSCTD: A Multimodal Sentiment Chat Translation Dataset"

mtbook

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

multi_unit_transformer

nmt_adequacy

nmtpytorch

Sequence-to-Sequence Framework in PyTorch

or-nmt

Source code for the paper <Bridging the Gap between Training and Inference for Neural Machine Translation>

paddle

PArallel Distributed Deep LEarning

rsi-nat

Source code for "Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation"

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

sparse-and-robust-plm

[NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

stackeddtmt

Stacked Encoder Enhanced Deep Transition RNMT

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data