albumentations
awesome-selfhosted
albumentations | awesome-selfhosted | |
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28 | 765 | |
13,451 | 178,743 | |
1.1% | 2.5% | |
8.9 | 8.7 | |
2 days ago | 6 days ago | |
Python | Makefile | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
albumentations
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
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Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.
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Tokyo Drift : detecting drift in images with NannyML and Whylogs
Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …
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[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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To get dataset for face image restoration.
You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.
awesome-selfhosted
- Self-Hosted Is Awesome
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Browse Self-Hosted Software
None of these lists ever seem to be as fleshed out, up to date, or well organized as https://github.com/awesome-selfhosted/awesome-selfhosted , though imo any more attention on the self hosted scene is awesome. We're now self hosting everything at my co-op, and it's a dream. Saves us money, provides learning opportunities, potentially is getting us work (managed hosting providers asking if we can be a devshop for their clients, for example), and lets us give back to the FOSS community as we uncover bugs.
We use:
* Matrix / Synapse for comms (slack alternative) (managed hosting through etke.cc)
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Home Lab Guide
There are a ton of resources about HW aspects of home labs for beginners but not so much for what to run on them and why. There are lists like https://github.com/awesome-selfhosted/awesome-selfhosted but they are confusing for absolute beginners like me. Are there any good SE project guides you know?
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Ente: Open-Source, E2E Encrypted, Google Photos Alternative
This[1] seems like a well maintained repo.
And thank you for the pointers, we'll try to get ourselves added here :)
[1]: https://github.com/awesome-selfhosted/awesome-selfhosted
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I turned my open-source project into a full-time business
I've always felt like FOSS as a philosophy has been tangled up in trying to participate effectively in capitalism, when that was never really the point, nor really very possible unless you're lucky, nor really worth it. The origin of FOSS as I understand it from reading books like "Hackers" is from people that were mad that access was being restricted to systems and code from people that really wanted to use these systems and code, and hack them, and learn from them. I recall that one of the things Stallman likes to brag about from that time is not related to FOSS at all, but instead successfully decrypting a bunch of passwords, emailing the decrypted passwords to people, and recommending they instead set the password to an empty string instead. It was about keeping access to the system Free as in Beer.
I suppose some have argued that FOSS represents a Public Commons in the way that fields and wells and physical markets used to, but none of those things survived capitalism, so I don't see why a technological commons should be expected to either.
For me I've been thinking lately that perhaps those interested in FOSS should instead consider how we can use FOSS to detach ourselves from needing to participate in global capitalism at all. Is there FOSS technology we can use to liberate people from things they need to spend money on right now? An example could be the Global Village Construction Set: https://www.opensourceecology.org/gvcs/ a set of open source designs for things like hydraulic motors or microcombines or steam engines that you can build on your own, usually not for cheap, but for far, far cheaper than you could buy from John Deere. Here's another cool project, some guy has just been building things like solar panels and basic circuit boards on his property from very base components for years: https://simplifier.neocities.org/
Some other FOSS liberation examples:
Combining a tool like Jellyfin with Sonarr, Radarr, and etc, can liberate people from their 5 different media subscriptions. Or at least they can still buy DVDs and put them on Jellyfin to have the convenience of streaming with the media library of their own choosing.
Deploying Matrix or another FOSS communication tool can let organizations have enterprise-level communication software without paying HUGE seat-based license fees to corporations like Slack.
In fact there's many ways to liberate yourself from paid SaaS in this list: https://github.com/awesome-selfhosted/awesome-selfhosted at my co-op we self-host and deploy all our services for this reason, it saves us a TON of money.
I don't have many other examples to mind because this is something I'm actively still researching. Friends in Venezuela though especially tell me how FOSS technology can liberate in ways I wouldn't expect here with my 64gb RAM machine with the latest processor, that I can easily replace components on on a whim. Such as how they can keep all their broken down machines pieced together from junkyards running pretty ok on various linux distros, and how they can sell creative work using free tools like gimp (no, really) or darktable. Like as not they'll just pirate software, though, but apparently FOSS often runs better on shitty hardware.
Anyway my long term plan is to find or build more and more things that let people just not spend money on things anymore. That could be by making it easier to not have to throw things away anymore, or building tools to replace proprietary ones, or, idk, other ways I haven't thought of.
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Stream to Chromecast with resolved, vlc and bash
Dashboard in what sense? Is this what you had in mind or no?
https://github.com/awesome-selfhosted/awesome-selfhosted#per...
- Awesome-Selfhosted
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Ask HN: Favorite place to discover open source projects?
I often skim through various "awesome lists" (e.g. [1]) and communities interested in open source apps like r/selfhosted [2]
[1] https://github.com/awesome-selfhosted/awesome-selfhosted
[2] https://www.reddit.com/r/selfhosted/
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Ask HN: How do I leave Dropbox
1. https://nextcloud.com/ https://proton.me/drive https://github.com/awesome-selfhosted/awesome-selfhosted#fil...
2. Download all data locally then upload elsewhere.
3. https://help.dropbox.com/security/privacy-policy-faq#7.-How-...
- Calling all ADHD entrepreneurs. How'd you do it? How do you make good on your responsibilities?
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
Technitium DNS Server - Technitium DNS Server
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
ThePornDB.bundle - ThePornDB.bundle Plex Metadata Agent
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
speedtest - Self-hosted Speed Test for HTML5 and more. Easy setup, examples, configurable, mobile friendly. Supports PHP, Node, Multiple servers, and more
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
focalboard - Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
stash - An organizer for your porn, written in Go. Documentation: https://docs.stashapp.cc
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
porn-vault - 💋 Manage your ever-growing porn collection. Using Vue & GraphQL