Name	Name	Last commit message	Last commit date
Latest commit History 154 Commits
Attention	Attention
Building a Conversational Agent Overnight with Dialogue Self-Play.assets	Building a Conversational Agent Overnight with Dialogue Self-Play.assets
MetaLearning	MetaLearning
NER	NER
RNNs	RNNs
dc+id+ner-nlu	dc+id+ner-nlu
images	images
kaggle-DATA-SCIENCE-BOWL-2018	kaggle-DATA-SCIENCE-BOWL-2018
nlp-course-deepmind	nlp-course-deepmind
retrieval	retrieval
self_learning_nlp	self_learning_nlp
siyecao	siyecao
weixin	weixin
.DS_Store	.DS_Store
20170428124746.png	20170428124746.png
ARIMA_primer_test.py	ARIMA_primer_test.py
FaultDetection1.png	FaultDetection1.png
FullConnectedNetwork.py	FullConnectedNetwork.py
FullConnectedNetwork1.png	FullConnectedNetwork1.png
FullConnectedNetwork2.png	FullConnectedNetwork2.png
GBDT原理及利用GBDT构造新的特征1.jpg	GBDT原理及利用GBDT构造新的特征1.jpg
GBDT原理及利用GBDT构造新的特征2.jpg	GBDT原理及利用GBDT构造新的特征2.jpg
GBDT原理及利用GBDT构造新的特征3.jpg	GBDT原理及利用GBDT构造新的特征3.jpg
GBDT原理及利用GBDT构造新的特征4.jpg	GBDT原理及利用GBDT构造新的特征4.jpg
GBDT原理及利用GBDT构造新的特征5.jpg	GBDT原理及利用GBDT构造新的特征5.jpg
GBDT原理及利用GBDT构造新的特征6.jpg	GBDT原理及利用GBDT构造新的特征6.jpg
GBDT原理及利用GBDT构造新的特征7.jpg	GBDT原理及利用GBDT构造新的特征7.jpg
Kaggle 数据挖掘比赛经验分享1.jpg	Kaggle 数据挖掘比赛经验分享1.jpg
Kaggle 数据挖掘比赛经验分享2.jpg	Kaggle 数据挖掘比赛经验分享2.jpg
Kaggle 数据挖掘比赛经验分享3.jpg	Kaggle 数据挖掘比赛经验分享3.jpg
Kaggle 数据挖掘比赛经验分享4.jpg	Kaggle 数据挖掘比赛经验分享4.jpg
Kaggle 数据挖掘比赛经验分享5.jpg	Kaggle 数据挖掘比赛经验分享5.jpg
LaTeX常用数学符号1.jpg	LaTeX常用数学符号1.jpg
LaTeX常用数学符号10.jpg	LaTeX常用数学符号10.jpg
LaTeX常用数学符号11.jpg	LaTeX常用数学符号11.jpg
LaTeX常用数学符号12.jpg	LaTeX常用数学符号12.jpg
LaTeX常用数学符号13.jpg	LaTeX常用数学符号13.jpg
LaTeX常用数学符号14.jpg	LaTeX常用数学符号14.jpg
LaTeX常用数学符号15.jpg	LaTeX常用数学符号15.jpg
LaTeX常用数学符号2.jpg	LaTeX常用数学符号2.jpg
LaTeX常用数学符号3.jpg	LaTeX常用数学符号3.jpg
LaTeX常用数学符号4.jpg	LaTeX常用数学符号4.jpg
LaTeX常用数学符号5.jpg	LaTeX常用数学符号5.jpg
LaTeX常用数学符号6.jpg	LaTeX常用数学符号6.jpg
LaTeX常用数学符号7.jpg	LaTeX常用数学符号7.jpg
LaTeX常用数学符号8.jpg	LaTeX常用数学符号8.jpg
LaTeX常用数学符号9.jpg	LaTeX常用数学符号9.jpg
LightGBM A Highly Efficient Gradient Boosting.png	LightGBM A Highly Efficient Gradient Boosting.png
LightGBM A Highly Efficient Gradient Boosting_2.png	LightGBM A Highly Efficient Gradient Boosting_2.png
LightGBM A Highly Efficient Gradient Boosting_3.png	LightGBM A Highly Efficient Gradient Boosting_3.png
LightGBM A Highly Efficient Gradient Boosting_4.png	LightGBM A Highly Efficient Gradient Boosting_4.png
LightGBM A Highly Efficient Gradient Boosting_5.png	LightGBM A Highly Efficient Gradient Boosting_5.png
LightGBM A Highly Efficient Gradient Boosting_6.png	LightGBM A Highly Efficient Gradient Boosting_6.png
LightGBM A Highly Efficient Gradient Boosting_7.png	LightGBM A Highly Efficient Gradient Boosting_7.png
Multi-view DNN.png	Multi-view DNN.png
README.md	README.md
Understanding deep learning requires rethinking generalization-f1.png	Understanding deep learning requires rethinking generalization-f1.png
Understanding deep learning requires rethinking generalization-f2.png	Understanding deep learning requires rethinking generalization-f2.png
Understanding deep learning requires rethinking generalization-t1.png	Understanding deep learning requires rethinking generalization-t1.png
cnn1.gif	cnn1.gif
csdn_get_prais.py	csdn_get_prais.py
denoise_auto_encoder_keras.py	denoise_auto_encoder_keras.py
denoise_auto_encoder_keras_1.png	denoise_auto_encoder_keras_1.png
denoise_auto_encoder_keras_2.png	denoise_auto_encoder_keras_2.png
dssm1.png	dssm1.png
dssm2.png	dssm2.png
dssm4.png	dssm4.png
ensemble_blending.py	ensemble_blending.py
ensemble_stacking.py	ensemble_stacking.py
images20201025115714.png	images20201025115714.png
images20201025115822.png	images20201025115822.png
jupyter1.png	jupyter1.png
jupyter2.png	jupyter2.png
jupyter3.png	jupyter3.png
jupyter4.png	jupyter4.png
jupyter5.png	jupyter5.png
lightGBM_sample.py	lightGBM_sample.py
pca_05.png	pca_05.png
u-net1.png	u-net1.png
u-net2.png	u-net2.png
u-net3.png	u-net3.png
u-net4.png	u-net4.png
时间序列分析之ARIMA上手-Python-10.png	时间序列分析之ARIMA上手-Python-10.png
时间序列分析之ARIMA上手-Python-2.png	时间序列分析之ARIMA上手-Python-2.png
时间序列分析之ARIMA上手-Python-3.png	时间序列分析之ARIMA上手-Python-3.png
时间序列分析之ARIMA上手-Python-4.png	时间序列分析之ARIMA上手-Python-4.png
时间序列分析之ARIMA上手-Python-5.png	时间序列分析之ARIMA上手-Python-5.png
时间序列分析之ARIMA上手-Python-6.png	时间序列分析之ARIMA上手-Python-6.png
时间序列分析之ARIMA上手-Python-7.png	时间序列分析之ARIMA上手-Python-7.png
时间序列分析之ARIMA上手-Python-8.png	时间序列分析之ARIMA上手-Python-8.png
时间序列分析之ARIMA上手-Python-9.png	时间序列分析之ARIMA上手-Python-9.png
时间序列分析之ARIMA上手-Python_1.png	时间序列分析之ARIMA上手-Python_1.png
论文阅读-XGBoost A Scalable Tree Boosting System1.png	论文阅读-XGBoost A Scalable Tree Boosting System1.png
论文阅读-XGBoost A Scalable Tree Boosting System10.png	论文阅读-XGBoost A Scalable Tree Boosting System10.png
论文阅读-XGBoost A Scalable Tree Boosting System11.png	论文阅读-XGBoost A Scalable Tree Boosting System11.png
论文阅读-XGBoost A Scalable Tree Boosting System12.png	论文阅读-XGBoost A Scalable Tree Boosting System12.png
论文阅读-XGBoost A Scalable Tree Boosting System13.png	论文阅读-XGBoost A Scalable Tree Boosting System13.png
论文阅读-XGBoost A Scalable Tree Boosting System14.png	论文阅读-XGBoost A Scalable Tree Boosting System14.png
论文阅读-XGBoost A Scalable Tree Boosting System15.png	论文阅读-XGBoost A Scalable Tree Boosting System15.png
论文阅读-XGBoost A Scalable Tree Boosting System2.png	论文阅读-XGBoost A Scalable Tree Boosting System2.png

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154 Commits

Attention

Building a Conversational Agent Overnight with Dialogue Self-Play.assets

kaggle-DATA-SCIENCE-BOWL-2018