The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
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Updated
Nov 14, 2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
list the paper for recently anchor free detector
Welcome to another year of A December of Algorithms. This is a small collection of algorithms to implement this December. Finish it all to get a certificate.
WWDC.srt is a powerful app for downloading subtitles in (srt) format or data links ( video links , pdf links , sample code links ) for each WWDC session video since 2013 .
We see you plan to document functions using sphinx, it would be good to have some basic doc files already
Notebooks are barely commented, could you please expand on the reasons behind the different steps? Ideally, each notebook should be self explanatory (like a stand-alone tutorial).
An interactive data visualization of the result of Indonesia's recent election built using D3.js and KawalPemilu API
LinkedIn video learning video downloader July 2019
Notes and assignment solution to http://cs231n.stanford.edu
Great job on the project!
@seblehner Please reach out and we can help you put together a Binder link so you can share the notebooks with others. (Even without data, it would be useful.)
cc/ @cvitolo
A multiplayer survival game developed during Global Game Jam 2019.
PyConES 2019 conferences, attachments and related stuff
The public GitHub repo for the EVHS Programming Club
A simple repo to promote participations on Hacktoberfest for beginners
Add a description, image, and links to the 2019 topic page so that developers can more easily learn about it.
To associate your repository with the 2019 topic, visit your repo's landing page and select "manage topics."
Nice work!
The version of implementation can reach 22+ BLUE score. However, my implementation have only 0.16+ BLUE score on test dataset. Comparing with your work, I found changing the concatenation
torch.cat((Y_t, o_pre), dim=1)totorch.cat((o_pre, Y_t), dim=1)can only reach 0.16+ BLUE score.B.W.T. chaging the concatenating order between
dec_hiddenanda_tinstepfunction also