ethan-phu Goto Github PK

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华南理工大学计算机考研

agpc

Code for ACL SRW 2019 Paper: Automatic Generation of Personalized Comment Based on User Profile

attention-is-all-you-need-pytorch

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

autochecker4chinese

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

blogroll

世界一流兼容并包TUNA协会收集的周围同学们的Blog

books

【编程随想】收藏的电子书清单（涉及多个学科）

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

chinese-independent-blogs

中文独立博客列表

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

codefever

CodeFever 是完全免费开源的 Git 代码托管服务，支持一行命令安装到自己服务器！CodeFever Community Edition (A Self-hosted Git Services)!

contrastive-learning-papers-codes

A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.

cplusplusthings

C++那些事

cs224n-winter-together

an Open Course Platform for Stanford CS224n (2020 Winter)

deep-learning-task

深度学习笔记

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

doc2edag

ebooks

📚经典技术书籍 PDF 文件，持续更新...

efficient-gan-based-method-for-cyber-intrusion

A GAN-based model focused on anomaly detection in discrete dataset

ethan-phu.github.io

my blog

geetest_crack

极验验证破解项目记录

gein

仿写gin框架

gfwlist

The one and only one gfwlist here

gin

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

hexo-theme-keep

:rainbow: A simple and elegant theme for Hexo. It makes you more focused on writing.

hutb_master_thesis_latex

湖南工商大学硕士毕业论文Latex模板

image-rectification

图像透视校正，自动补全缺失的边

imgbeg

个人图床

js.cool

为国人开源项目提供免费的子域名（自 2020 年 8 月起），现在支持 Vercel 啦！

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)