dh434 Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

awesome-noah

:octocat: AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)

bdc2019

2019**高校计算机大赛——大数据挑战赛 第三名解决方案

bert-keras

Keras implementation of BERT with pre-trained weights

ccks2018

CCKS 2018 开放领域的中文问答任务 1st 解决方案

chinesener

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

federated-learning

Federated Learning - PyTorch

hd

my blog

helloworld

test

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

inference

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

kesci-urdu-sentiment-analysis

kesci-urdu-sentiment-analysis

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

leetcode

leetcode_restart

markdown_image

mp4

MP4的帧提取

mp4linux

mp4 linux

newsrecommendsystem

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

question-pairs-matching

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

summary-of-recommender-system-papers

阅读过的推荐系统论文的归类总结，持续更新中…