home-gallery VS hnrss

Maybe home gallery could work? I've been testing it a bit lately. https://github.com/xemle/home-gallery

Hi. I'm a new Unraid user and trying to add https://github.com/xemle/home-gallery to my unraid. I only used to install through the CA store so I can't seem to get this to work manually. Can anyone help or is there any tutorial which would help me? Thank you :)

Homegallery: Web gallery featuring face/object recognition auto-tagging, and AI-powered similar image discovery. Demo. Github

Home Gallery[1] for my photo collection. It has (local) face and object detection.

AdGuard for ad blocking

OctoPrint for 3d printing

[1]https://github.com/xemle/home-gallery

I haven't tried PhotoPrism but I'll give it a whirl. In my case, I'm looking for the best way to enable multiple family members upload, tag, and effectively browse tens of thousands of photographs as we all continue digitizing family albums.

I'm currently using HomeGallery[0] behind Authelia[1] for authentication to view so many images effectively. For uploading, I'd been using Nextcloud but it began to noticeably lag after a few thousand images. I switched to FileRun[2] with symlink'd photo directories and a user for each family.

With HomeGallery, I get the desired performance on mobile devices with de-duplication and tagging. My instance is detecting objects fine, but I owe it troubleshooting time to figure out face recognition. The "similar images" feature can be fun with so many photos. A nice tagging modal on keybind per-image would be a nice-to-have.

Using FileRun for uploads works fine, but I also needed a continuous cron job for docker exec to generate any missing thumbnails.

[0] https://github.com/xemle/home-gallery (or https://home-gallery.org/)

I would recommend home gallery or time theme for typecho, did a quick research after seeing this post since I also want to personally host one :), but just a quick reminder that the latter one is a theme for a blog CMS called typecho yet it mostly targets the Chinese community, it might be a bit tricky for setting up typecho & its affiliated widgets and etc, but once you get it done, enjoy. However I'm personally not a huge fan of "dynamic" webpages that requires a server, so if you got any updates on a STATIC gallery that could host on a serverless platform like netlify, please let me know! (Also don't forget to use a reliable CDN provider for your image serving, or else the images loading speed will be slow as fuck if users are out of the area where your server is located.)

That’s interesting.

I have predictive models that can predict if a headline (w/o the rest of the article and not considering the URL) will (a) get more than 10 votes and (b) if it does get more than 10 votes will the votes/comments ratio be more than 2 (which is roughly average)

The first model gets a ROC-AUC (see https://scikit-learn.org/stable/modules/generated/sklearn.me...) in the low 60’s (not good, the second model gets in the low 70’s (actually pretty good though it is a heat seeking missile for clickbait headlines) and my latest content-based recommender for RSS items gets almost 80. (I saw a paper that one system at TikTok gets about 85)

To do all that you need about 10,000 headlines and don’t get a lot of benefit from having more than 100,000. The ceilings on performance have more to do with the nature of the problem rather than my models: the same article can get submitted twice and get 0 votes one time and 200 the other time so it can never be as accurate as “is this an article about galactic astronomy?”

I had it ingest the HN comments firehose and found the amount of articles was overwhelming, my YOShInOn RSS reader now ingests the “best comments” from

https://hnrss.github.io/

together with 110 other feeds and actually I like the comments it picks out a lot. Now that the system is adding about 3000 items per day it might be able to handle a big feed like the comments firehose since now those comments are diluted with so many quality articles. For a problem like that you might want a two-score system with: (i) is it relevant? (something I like) and (ii) is it popular? (like Google’s PageRank)

I think you could make a model that compares comments in the best comments feed with other comments. I have tried formulating the problems above as regression problems where I try to predict the actual score and it does not work well because of the uncertainty problem but formulated as a classification problem for a score over a threshold it is easy to make a well-calibrated model that tells you “this article has a 20% chance of frontpaging” which is about the best anyone can do.

Subscribe via rss, so you can scratch the curiosity itch and each the FOMO, without coming to the site all the time and looking over the same things 20 times?

https://hnrss.github.io/

https://news.ycombinator.com/item?id=9491978

and this https://hnrss.github.io/

ps i’m ok with some % of false positives, but hopefully a sprinkle of OpenAI could keep that magically low?

thanks

It sounds interesting but I use https://hnrss.github.io/

Unless it had most of the features of hnrss.org I would not be able to use it.

Perhaps you could pivot your approach and submit a PR to hnrss for the feature?

Looks like there's an unmerged PR on the third-party hnrss project that would add this: https://github.com/hnrss/hnrss/pull/84

Check out below link to get a more customized, topic wise rss feeds.

https://hnrss.github.io/