developers_hutt t1_j5l15jd wrote on January 23, 2023 at 7:33 PM

This is awesome! Someone at my work is actually trying to build something similar but for chemistry publications. I would love to see how you implemented this if you ever want to share your code.

Final-Rush759 t1_j5jftm0 wrote on January 23, 2023 at 1:04 PM

Reply to Tensorflow or Pytorch by ContributionWild5778

Pytorch or Jax. Tf is on the way out.

BullyMaguireJr OP t1_j5j8w6m wrote on January 23, 2023 at 11:52 AM

Reply to comment by fasync in arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

That's a nice idea! I don't have an RSS feed yet, but maybe adding one could be useful! Will add support for this soon!

BullyMaguireJr OP t1_j5j8pnu wrote on January 23, 2023 at 11:50 AM

Reply to comment by abhasatin in arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

Dang, I don't have this app on a public Github repo yet since it currently has a lot of moving parts running on AWS lol.

But were there any specific fields you wanted to add?

timelyparadox t1_j5iw0j4 wrote on January 23, 2023 at 8:55 AM

Reply to comment by [deleted] in How do you manage large size datasets of text for preprocessing? by [deleted]

Medium article:

https://medium.com/analytics-vidhya/how-to-pre-process-large-datasets-for-machine-learning-using-spark-19500155b521

Not perfect example but might be helpfull to lead into right direction.

[deleted] OP t1_j5ivup4 wrote on January 23, 2023 at 8:53 AM

Reply to comment by timelyparadox in How do you manage large size datasets of text for preprocessing? by [deleted]

No, I’m not. Can you share any reference material

timelyparadox t1_j5iu8hi wrote on January 23, 2023 at 8:31 AM

Reply to How do you manage large size datasets of text for preprocessing? by [deleted]

Are you using Spark?

fasync t1_j5iklnf wrote on January 23, 2023 at 6:27 AM

Reply to arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

Nice! Is there an option for rss readers?

abhasatin t1_j5idw0p wrote on January 23, 2023 at 5:15 AM

Reply to arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

Interested. Is there GitHub for PR for other fields?

XecutionStyle t1_j5hkq3m wrote on January 23, 2023 at 1:27 AM

Reply to comment by BullyMaguireJr in arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

Excellent, thanks!

BullyMaguireJr OP t1_j5hjz6r wrote on January 23, 2023 at 1:22 AM

Reply to comment by XecutionStyle in arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

I'm actually working on that next, it'll probably be live in ~1-2 weeks.

Once it's live, I'll send an email to all the current newsletter subscribers so that people can set their own filters if they'd like.

XecutionStyle t1_j5hj63c wrote on January 23, 2023 at 1:16 AM

Reply to arXiv Feed: Keep up with AI research, the easy way. by BullyMaguireJr

Is it possible to sign-up for the newsletter to periodically email me on certain topics (using the semantic search, say "motor control for robotics") or keywords like "VR/Wifi"?

Intelligent-Aioli-43 t1_j5ggszd wrote on January 22, 2023 at 9:03 PM

Reply to Tensorflow or Pytorch by ContributionWild5778

Pytorch lightning

ContributionWild5778 t1_j5g6sio wrote on January 22, 2023 at 8:00 PM

Reply to comment by nibbajenkem in Why a pretrained model returns better accuracy than the implementation from scratch by tsgiannis

This! I would just add that you can never find the exact reason as to why your training from scratch is giving less accuracy. Do you have enough data for all the neurons to learn the features ? Can you cross validate the validation loss of your dataset and pre-trained one ? Did you try removing/adding a dense layer to check how the performance is changed ?

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