Pinned Repositories
CoAlign
fairseq-gec
Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
gector
Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf
helo_word
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
inputmix
LRCP
Octo
Create tiny ML systems for on-device learning.
pytorch_deeplearning
submitit
Python 3.6+ toolbox for submitting jobs to Slurm
TensorFlow-HRT
Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.
JesseWong333's Repositories
JesseWong333/CoAlign
JesseWong333/fairseq-gec
Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
JesseWong333/gector
Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf
JesseWong333/helo_word
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
JesseWong333/inputmix
JesseWong333/LRCP
JesseWong333/Octo
Create tiny ML systems for on-device learning.
JesseWong333/pytorch_deeplearning
JesseWong333/submitit
Python 3.6+ toolbox for submitting jobs to Slurm
JesseWong333/TensorFlow-HRT
Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.
JesseWong333/ViT_training
Course work
JesseWong333/VNN
VNN是由欢聚集团(Joyy Inc.)推出的高性能、轻量级神经网络部署框架。目前已为Hago、VOO、VFly、马克相机等App提供20余种AI能力的支持，覆盖直播、短视频、视频编辑等泛娱乐场景和工程场景