sprig
blackjack-basic-strategy
sprig | blackjack-basic-strategy | |
---|---|---|
10 | 23 | |
783 | 26 | |
1.0% | - | |
9.8 | 2.0 | |
1 day ago | about 1 year ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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.
sprig
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Hack Club Blot: A CNC drawing machine for programmatic art. Built with teenagers
Blot is completely open source (hardware and software). You can find the GitHub here: https://github.com/hackclub/blot
I spent the last year building Blot with teenagers in the Hack Club community including but not limited to B (age 19), Henry (15), Kai (17), Shawn (18), Hugo (15), Ella (19) and Bright (15).
At Hack Club weâre working on building a new model for public education through open source projects. We believe people learn best by building things they care about and sharing those things with others. We want to support motivated teenagers around the world to pursue technology this way. Thatâs why we created the âYou Ship, We Shipâ model. We build online creative coding environments that are gateways to other subjects in technology. When teenagers create projects with our tools and share them publicly we send them more creative material. At the end of 2022 we released our first âYou Ship, We Shipâ project: Sprig.
Sprig is a microworld for making tile games, when you share your game we send you the hardware to build a handheld gaming console that can play that game. https://github.com/hackclub/sprig
Today we are releasing our newest âYou Ship, We Shipâ: Blot. Create a program that generates line art and weâll send you a robot that can draw that art in real life. We hope Blot will encourage people to explore the beauty of programming and be a gateway to digital fabrication. Nothing feels more magic to me than writing an incantation on a computer that can materialize into a real thing that you can hold in your hands. I hope to share that magic with you through Blot.
Everything is free and open source so anyone is welcome to use the editor, submit to the gallery, or build a Blot machine. You have to be a teenager for us to send you a machine for free though.
Iâm excited to see what people make! Enjoy.
If you want to learn more about Hack Club you can check out this short documentary we made about our 2023 summer hackathon: https://www.youtube.com/watch?v=O1s5HqSqKi0
- Open source game console/engine built by teenagers (for teenagers)
- Show HN: Sprig, open-source game console & engine, by teenagers, for teenagers
- Show HN: Sprig, open-source game console & engine, by teenagers, for teenagers
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Show HN: Sprig, open-source game console and engine, by teenagers, for teenagers
It appears the project hasn't optimized for production (yet?). For now, I can't help but think it may be possible to cobble together a Sprig using inexpensive Pi Pico HATs and 3D printing. Here's the schematic:
https://github.com/hackclub/sprig/blob/main/docs/GROWING_A_S...
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Ask HN: Who is hiring? (November 2022)
Hack Club | Full-time, Part-time or Contract | ONSITE | Vermont, US | https://hackclub.com
Hello friends,
I come from the game dev world where I led the team on the Crash Bandicoot reboot trilogy and helped ship two of the Destiny 2 expansions. Iâm now building out a team here at Hack Club that will make inspiring technical and creative projects with and for thousands of the most technical teenagers youâll probably ever meet.
In the past 3 months, weâve shipped an open source game console ( https://github.com/hackclub/sprig ) that you can only get by building a game for it, a guide to assembly language thatâs now the 4th most popular GitHub repo written in assembly ( https://github.com/hackclub/some-assembly-required ), and a teaser for a game we're producing about love and graphing (https://hack.af/sr ).
For this role, Iâm looking for a technical partner-in-crime with a few notches in your belt.
JOB DESCRIP/APPLY: https://hiring.hackclub.com/26020 or email [email protected]
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PAID - Creative Technologist
In the past 3 months, weâve shipped an open source game console that you can only get by building a game for it, a guide to assembly language thatâs now the 4th most popular GitHub repo written in assembly, and a teaser for a game about love and graphing.
blackjack-basic-strategy
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Show HN: Pip install inference, open source computer vision deployment
Itâs an easy to use inference server for computer vision models.
The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface).
Itâs backed by a bunch of component pieces:
* a server (so you donât have to reimplement things like image processing & prediction visualization on every project)
* standardized APIs for computer vision tasks (so switching out the model weights and architecture can be done independently of your application code)
* model architecture implementations (which implement the tensor parsing glue between images & predictions) for supervised models that you've fine-tuned to perform custom tasks
* foundation model implementations (like CLIP & SAM) that tend to chain well with fine-tuned models
* reusable utils to make adding support for new models easier
* a model registry (so your code can be independent from your model weights & you don't have to re-build and re-deploy every time you want to iterate on your model weights)
* data management integrations (so you can collect more images of edge cases to improve your dataset & model the more it sees in the wild)
* ecosystem (there are tens of thousands of fine-tuned models shared by users that you can use off the shelf via Roboflow Universe[1])
Additionally, since it's focused specifically on computer vision, it has specific CV-focused features (like direct camera stream input) and makes some different tradeoffs than other more general ML solutions (namely, optimized for small-fast models that run at the edge & need support for running on many different devices like NVIDIA Jetsons and Raspberry Pis in addition to beefy cloud servers).
[1] https://universe.roboflow.com
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Open discussion and useful links people trying to do Object Detection
* Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects.
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TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com
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Please suggest resources to learn how to work with pre-trained CV models
Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com
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Suggestion for identification problem with shipping labels?
If you're lacking training images, you can also use [Roboflow Universe](https://universe.roboflow.com) to obtain them (over 100 million labeled images available)
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Ask HN: Who is hiring? (November 2022)
Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 100k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. And we now host the largest collection[2] of open source computer vision datasets and pre-trained models[3].
We have several openings available, but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. (We especially love hiring past and future founders.)
We're hiring 3 full-stack engineers this quarter and we're also looking for an infrastructure engineer with Elasticsearch experience.
[1]: https://docs.roboflow.com
[2]: https://blog.roboflow.com/computer-vision-datasets-and-apis/
[3]: https://universe.roboflow.com
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When annotating an image, if a collection of an entity changes the nature of the entity, do you label them collectively or separately?
Based on what I do/use when I prepare models: A good framework for creating and improving this dataset faster is to use Roboflow Universe and search âflowersâ and âbouquets of flowersâ in the search bar (itâs like Google Images for CV Datasets). You can search images by subject, or metadata, and clone them directly into a free public workspace (they house up to 10k images without charge). * https://universe.roboflow.com/ * https://universe.roboflow.com/search?q=flowers * https://universe.roboflow.com/search?q=bouqets
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Need help on finding an area where machine learning is applicable on day-to-day life but not implemented already
Lots of ideas will come to mind if you look and search through open source datasets: https://universe.roboflow.com/
- Ask HN: Any good self-hosted image recognition software?
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SAAS for object detection?
Open source datasets: https://universe.roboflow.com/ Model training: https://docs.roboflow.com/train Model deployment: https://docs.roboflow.com/inference/hosted-api
What are some alternatives?
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