Pinned Repositories
3DCNN_HMM
3DCNN_HMM
EMNLP_2022
en-ja_translation
Englishi-to-Japanese-Translation
Fairseq-VaTeX-ZH-EN
An implementation of fairseq trained on the VaTeX dataset's English (EN) and Simplified Chinese (ZH) parallel caption datasets.
fairseq-zh-en
NMT for chinese-english using fairseq
interpret_positional_encoding
lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت
logi-options-plus-mini
Let logi options plus do the job of keyboard and mouse only!disable logivoice、analytics、flow、sso、update、dfu、aipromptbuilder、device-recommendation
posters
A repo for posters for conferences, meetings, etc.
vesterchang's Repositories
vesterchang/en-ja_translation
vesterchang/interpret_positional_encoding
vesterchang/logi-options-plus-mini
Let logi options plus do the job of keyboard and mouse only!disable logivoice、analytics、flow、sso、update、dfu、aipromptbuilder、device-recommendation
vesterchang/3DCNN_HMM
3DCNN_HMM
vesterchang/EMNLP_2022
vesterchang/Englishi-to-Japanese-Translation
vesterchang/Fairseq-VaTeX-ZH-EN
An implementation of fairseq trained on the VaTeX dataset's English (EN) and Simplified Chinese (ZH) parallel caption datasets.
vesterchang/fairseq-zh-en
NMT for chinese-english using fairseq
vesterchang/lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت
vesterchang/posters
A repo for posters for conferences, meetings, etc.
vesterchang/relative-position-pytorch
a pytorch implementation of self-attention with relative position representations
vesterchang/unlimited-landeng-for-win
无限流量灯，你懂的，我不解释
vesterchang/XDUtheme
an unofficial LaTeX beamer theme for Xidian University
vesterchang/ZH-EN-mmt
A multimodal machine translation model from Simplified Chinese (ZH) to English (EN) using the VaTeX dataset and Fairseq.