Pinned Repositories
cail
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
DocRED
Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.
Google-Cloud-API-tutorial
ibaa
A public available dataset for using market sentiment for financial asset allocation.
Image-and-Video-Dehazing
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
JiaxiHe's Repositories
JiaxiHe/Image-and-Video-Dehazing
JiaxiHe/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
JiaxiHe/ibaa
A public available dataset for using market sentiment for financial asset allocation.
JiaxiHe/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
JiaxiHe/cail
JiaxiHe/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
JiaxiHe/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
JiaxiHe/DocRED
Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.
JiaxiHe/Google-Cloud-API-tutorial
JiaxiHe/practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
JiaxiHe/Hackathon
Hackathon organized by Unearth Melbourne March
JiaxiHe/jiaxihe.github.io
JiaxiHe/lectures
Oxford Deep NLP 2017 course
JiaxiHe/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
JiaxiHe/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
JiaxiHe/sempre
Semantic Parser with Execution
JiaxiHe/StackGAN
JiaxiHe/tensorflow
Computation using data flow graphs for scalable machine learning
JiaxiHe/Titanic-Machine-Learning
Kaggle competition