tommywongww Goto Github PK

2019_big_data_challenge

【预选赛】2019**高校计算机大赛——大数据挑战赛

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-scene-text-recognition

A curated list of resources dedicated to scene text localization and recognition

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

bd_xjtu

百度-西交大·大数据竞赛2018——商家招牌的分类与检测

deeplearningbook-readingnotes

DeepLearningBook 读书会笔记及讲义

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

dlinterview

Deep Learning Interview 深度学习面试题目汇总

free-programming-books

:books: Freely available programming books

gnnpapers

Must-read papers on graph neural networks (GNN)

hangzhouyunqi2017ppt

image-text-embedding

Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

killingcodes

刷题记录

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

maven-framework-project

基于maven的多框架和多视图融合技术(Struts1、Struts2、Spring、SpringMVC、Hibernate、Ibatis、MyBatis、Spring Data JPA、DWR)

memorynetworks

"End-To-End Memory Networks" in Pytorch

netease-work

nlpcc2016kbqa

KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

owesome-lab-stories

discribe my lifetime works and codes.

paipaidai-rank10

papers

记录日常论文阅读情况

practical-programming-books

这里收录比较实用的计算机相关技术书籍，可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文，欢迎Fork，你也可以通过Pull Request参与编辑。

prml

PRML algorithms implemented in Python

rcpapers

Must-read papers on Machine Reading Comprehension

reading-notes

recording my reading works

rnn-active-user-forecast

1st place solution for the Kuaishou Active-user Forecast competition