-
Notifications
You must be signed in to change notification settings - Fork 1.7k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Apply for access to the full code #322
base: master
Are you sure you want to change the base?
Conversation
Hi Boris, Your project is awesome and inspiring. I am confident it will perform even better if a few more features can be added. I created this pull request for access to the full projects as required in the article. Would you kindly grant it or send to my email: [email protected]
…code Apply for access to the project's code
Hi Boris, Could you please share the source code. I am currently doing a PhD in Machine Learning. My e-mail address is [email protected] Best regards, |
Hi Boris, THANK YOU SO MUCH for sharing your research work to us. The topic is fantastic and state-of-art. I am a quant researcher in a hedge fund in HongKong and do the relevant research recently. By following your code, some points are still confusing for me, for example how exactly the GAN network was built and how the data was fed into CNN combined with true data and synthetic time series data. If its possible, can you please share your full code of project with me? I would appreciate it if you would like to do so. My Email address is : [email protected]. Best, |
Dear Boris,
I am a PhD student in machine learning. I found your research quite interesting. Could you pleaser share the full code with me.
Thank you,
George
From: chen824 ***@***.***>
Sent: 18 April 2022 03:54
To: borisbanushev/stockpredictionai ***@***.***>
Cc: w1767 ***@***.***>; Comment ***@***.***>
Subject: Re: [borisbanushev/stockpredictionai] Apply for access to the full code (PR #322)
Hi Boris,
THANK YOU SO MUCH for sharing your research work to us. The topic is fantastic and state-of-art. I am a quant researcher in a hedge fund in HongKong and do the relevant research recently. By following your code, some points are still confusing for me, for example how exactly the GAN network was built and how the data was fed into CNN combined with true data and synthetic time series data. If its possible, can you please share your full code of project with me? I would appreciate it if you would like to do so. My Email address is : ***@***.*** ***@***.***> .
Best,
CHEN
—
Reply to this email directly, view it on GitHub <#322 (comment)> , or unsubscribe <https://github.com/notifications/unsubscribe-auth/AUUFFC3H3DHU7F24JFZLLFDVFTFELANCNFSM5KKWNBSQ> .
You are receiving this because you commented. <https://github.com/notifications/beacon/AUUFFC5XLTQVSO225CT6QSTVFTFELA5CNFSM5KKWNBS2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOIGQJHPA.gif> Message ID: ***@***.*** ***@***.***> >
…--
This
message and its attachments are private and confidential. If you
have received
this message in error, please notify the sender and remove it
and its
attachments from your system.
The University of Westminster is a
charity and a company limited by guarantee. Registration number: 977818
England. Registered Office: 309 Regent Street, London W1B 2UW.
|
Hi Boris, First of all, thank you for sharing your knowledge with the rest of the world. Thanks in advance, Arjon |
Hi Boris, Could you please share the source code. I am currently doing a Masters in Machine Learning. I just started learning, but I found your project really interesting, but I got gapsfollowing the code on my own. Can you please grant me access to the full source code. My e-mail address is [[email protected]](mailto:[email protected] Best regards, |
Hi Boris,
Your project is awesome and inspiring. I am confident it will perform even better if a few more features can be added.
I created this pull request for access to the full projects as required in the article.
Would you kindly grant it or send to my email: [email protected]?
Best regards,
Daniel