Pinned Repositories
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
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
leetcode
MP4
MP4的帧提取
dh434's Repositories
dh434/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)
dh434/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dh434/leetcode
dh434/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
dh434/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
dh434/awesome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
dh434/BDC2019
2019**高校计算机大赛——大数据挑战赛 第三名解决方案
dh434/BERT-keras
Keras implementation of BERT with pre-trained weights
dh434/ccks2018
CCKS 2018 开放领域的中文问答任务 1st 解决方案
dh434/ChineseNER
中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF
dh434/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 :)
dh434/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。
dh434/federated-learning
Federated Learning - PyTorch
dh434/HD
my blog
dh434/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
dh434/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。
dh434/kesci-urdu-sentiment-analysis
kesci-urdu-sentiment-analysis
dh434/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。
dh434/leetcode_restart
dh434/markdown_image
dh434/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.
dh434/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
dh434/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。
dh434/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
dh434/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…
dh434/tensorflowLearning
dh434/text_classification
all kinds of text classification models and more with deep learning
dh434/textClassifier
tensorflow implementation
dh434/tianchi_OGeek
在搜索业务下有一个场景叫实时搜索（Instance Search）,就是在用户不断输入过程中，实时返回查询结果。 此次赛题来自OPPO手机搜索排序优化的一个子场景，并做了相应的简化，意在解决query-title语义匹配的问题。简化后，本次题目内容主要为一个实时搜索场景下query-title的ctr预估问题。
dh434/Z_knowledge_graph
Bulding kg from 0