hxw11

BertSum

Code for paper Fine-tune BERT for Extractive Summarization

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

GCIDetection

hands-on-ml-zh

闷声大发财

learn-regex

Learn regex the easy way

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

pytorch-book

PyTorch：入门与实践

recommenders

Best Practices on Recommendation Systems

hxw11/BertSum

Code for paper Fine-tune BERT for Extractive Summarization

hxw11/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

hxw11/fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

hxw11/GCIDetection

hxw11/hands-on-ml-zh

闷声大发财

hxw11/learn-regex

Learn regex the easy way

hxw11/pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

hxw11/python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

hxw11/pytorch-book

PyTorch：入门与实践

hxw11/recommenders

Best Practices on Recommendation Systems

hxw11/openbilibili

哔哩哔哩 bilibili go-common

hxw11/rouge

A full Python Implementation of the ROUGE Metric (not a wrapper)

hxw11/text-summarization-tensorflow

Tensorflow seq2seq Implementation of Text Summarization.

hxw11/worked

Learning Git Test