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Top 8 tensorflow-j Open-Source Projects
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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blackjack-basic-strategy
A computer vision powered Blackjack basic strategy app powered by Roboflow.
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scanner-cam
📹🔊 Web app recognizer of objects in camera. Also you can hear which objects are detected. And it works offline after first load!
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Introducing Nobuco: PyTorch to Tensorflow converter. Intuitive, flexible, efficient. | /r/pytorch | 2023-07-02Hence, [Nobuco](https://github.com/AlexanderLutsenko/nobuco). It's designed with simplicity and hackability in mind and automatically solves mismatching channel orders offering near-optimal performance. Try it, and spread the word if you like it. If not, feel free to open an issue or feature request. Any forms of contribution are highly welcome!
Project mention: Show HN: Pip install inference, open source computer vision deployment | news.ycombinator.com | 2023-08-23It’s 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).
It’s backed by a bunch of component pieces:
* a server (so you don’t 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
Project mention: Show HN: Navigate a website by clicking your fingers and saying a link name | news.ycombinator.com | 2023-09-30
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Any OpenSource Parental monitoring applications (PC)
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A note from our sponsor - SaaSHub
www.saashub.com | 2 May 2024
Index
What are some of the best open-source tensorflow-j projects? This list will help you:
Project | Stars | |
---|---|---|
1 | nsfwjs | 7,626 |
2 | arbitrary-image-stylization-tfjs | 1,181 |
3 | nobuco | 185 |
4 | nsfw-classification-tensorflow | 77 |
5 | Greenathon-Plant-AI | 71 |
6 | blackjack-basic-strategy | 26 |
7 | scanner-cam | 10 |
8 | awsnap.js | 3 |
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