Pinned Repositories
cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
code_contests
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15个章节，近20万字。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
DeepLearningC
Simple program to learn CNN (LeNet-5) in pure C
DeepLearningExamples
Deep Learning Examples
DRCD
A 30000+ Chinese MRC dataset - Delta Reading Comprehension Dataset
MCMF_dijstra
华为软件大赛： 最小费用流(dijstra算法)+遗传算法
MCMF_zkw
华为软件大赛： 最小费用流(zkw)+遗传算法。 zkw比sfa的费用流快好多啊，10倍左右，牛逼~
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
tianchi_jiaotong
天池大赛——智慧交通大赛
sanshanxiashi's Repositories
sanshanxiashi/MCMF_zkw
华为软件大赛： 最小费用流(zkw)+遗传算法。 zkw比sfa的费用流快好多啊，10倍左右，牛逼~
sanshanxiashi/MCMF_dijstra
华为软件大赛： 最小费用流(dijstra算法)+遗传算法
sanshanxiashi/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15个章节，近20万字。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
sanshanxiashi/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
sanshanxiashi/tianchi_jiaotong
天池大赛——智慧交通大赛
sanshanxiashi/cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
sanshanxiashi/code_contests
sanshanxiashi/DeepLearningC
Simple program to learn CNN (LeNet-5) in pure C
sanshanxiashi/DeepLearningExamples
Deep Learning Examples
sanshanxiashi/DRCD
A 30000+ Chinese MRC dataset - Delta Reading Comprehension Dataset
sanshanxiashi/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
sanshanxiashi/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
sanshanxiashi/GeoMAN
A deep learning approach for spatio-temporal forecasting
sanshanxiashi/incubator-superset
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
sanshanxiashi/lectures
Oxford Deep NLP 2017 course
sanshanxiashi/LeNet-5
LeNet-5,Use C Program Language Without Any 3rd Library
sanshanxiashi/MachineLearning
Basic Machine Learning and Deep Learning
sanshanxiashi/MachineLearning-1
Machine learning resources，including algorithm, paper, dataset, example and so on.
sanshanxiashi/mergeTest
sanshanxiashi/MyKaggle
my Kaggle solutions.
sanshanxiashi/NewDays
It will change the world one day.
sanshanxiashi/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
sanshanxiashi/nmt
TensorFlow Neural Machine Translation Tutorial
sanshanxiashi/paipaidai_comp
第三届魔镜杯大赛, 智能客服聊天机器人真实数据, 提高智能客服的识别能力和服务质量
sanshanxiashi/PRML
PRML algorithms implemented in Python
sanshanxiashi/react_mapv_webpack
my first project constructed by npm+react+webpack+mapv
sanshanxiashi/sklearn
for sklearn learning
sanshanxiashi/uber-tlc-foil-response
Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission