Generation of Synthetic Financial Time Series with GANs - Casper Hogenboom

[@bohdanzhuravel5642]

Perfect work👍

[@aehauehaue]

Really nice work! Thanks for uploading your presentation, you gave me very useful insights for my PhD thesis. Greetings from Brazil :)

[@Hightree7405]

Thanks Rafael, if you need any further help you can always reach out!

[@ruparajakumaripeter1229]

@@Hightree7405 so nice of you

[@ruparajakumaripeter1229]

I may also need your help

[@zainabkhan5859]

@@Hightree7405 could you please share your slides?

[@mramzanshahidkhan3917]

Can you share the code which is related to 1D GAN on sequence data or biological sequence data?Thanks

[@user-gu6dh2jl2u]

could you share the 2D-GAN related code for generating synthetic sequence data?many thanks

[@SuperSambram]

Nice work, what do you think if WGAN is similar to Reinforcement learning (like Actor-Critic for ex) or Policy gradient optimization problems ?

[@happinessishomemade83]

Nice work, do you have source code ?

[@KhayamGondal]

Do you have the source code available?

[@vadimavkhimenia5806]

Just Google his last name and github

[@hajrawaheed9636]

Can you help me in understanding how the condition passed in the generator impacts the generator output?
Also, do features passed in the condition have a one to one correspondence with the output of the generator? For instance if 20 features are passed as condition in the generator, and the generator is made to produce an output of 20 features, will the features in the condition have a one to one correspondence with the generated features output?

[@SurbhiGupta-ij2wd]

hey, thanks for the video... Do you have github link for these codes...? I'll be grateful to you for this...