ml5-library
playtorch
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| ml5-library | playtorch | |
|---|---|---|
| 16 | 10 | |
| 6,349 | 818 | |
| 0.8% | - | |
| 0.0 | 0.0 | |
| 4 months ago | 6 months ago | |
| JavaScript | MDX | |
| GNU General Public License v3.0 or later | 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.
ml5-library
- Why do people curse JS so much, but also say it's better than Python
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Riffr - Create Photo Montages in the Browser with some ML Magic✨
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc.
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Contributing to WebSockets – Cryptocurrency Users
> Have we seen any creator of a deep learning library, take a similar position if not stopping any support for anyone using it for mass surveillance?
ml5.js license:
> This license gives everyone as much permission to work with this software as possible as long as they comply with the ml5.js Code of Conduct [...]
ml5.js code of conduct:
> Do not: [...] Use ml5.js to build tools of mass surveillance and prediction to repress the rights of people
https://github.com/ml5js/ml5-library/blob/main/LICENSE.md
Not sure how enforcable this is but it exists.
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Brain.js: GPU Accelerated Neural Networks in JavaScript
See also: https://ml5js.org/
"The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies."
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10 Mind Blowing JavaScript libraries Of 2022 (I mean it Javascript Noob)
(5) ml5.js
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Top 5 JavaScript Libraries for Machine Learning, Deep Learning
ML.js
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[Showoff Saturday] I made a captcha prototype that requires a banana
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there.
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My First 30 Days of 100 Days of Code.
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all.
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PyTorch vs. TensorFlow in 2022
Yeah they made ml5.js for this reason: https://ml5js.org/
I do feel like Google could do better communicating all of their different tools though. Their ecosystem is large and pretty confusing - they've got so many projects going on at once that it always seems like everyone gets fed up with them before they take a second pass and make them more friendly to newcomers.
Facebook seems to have taken a much more focused approach as you can see with PyTorch Live
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[D] Are you using PyTorch or TensorFlow going into 2022?
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js!
playtorch
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[D] Pytorch or TensorFlow for development and deployment?
First, PlayTorch is a thing. That could replace tflite for mobile.
- PlayTorch – Build your AI powered mobile prototypes in minutes
- ¿Data Science o Diseño Web?
- [D] Anyone tried using Apple’s Swift for Machine Learning
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using a teachable machine model in react native
maybe this package can help you here
- Easy to use set of tools to create on-device ML demos on Android and iOS. Unlock the vast potential of AI innovations.
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[D] Are you using PyTorch or TensorFlow going into 2022?
I'd say stick with PT for now! If you're interested in deployment, might wanna look into TF, but I'd use PyTorch Live to build a mobile application before you do that!
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Introducing PyTorch Live!!
Learn more here - https://pytorch.org/live/
- PyTorch Live: an easy to use command line interface, a React Native package, and a React Native template to build, deploy, and share machine learning models
What are some alternatives?
tfjs-models - Pretrained models for TensorFlow.js
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
handpose-facemesh-demos - 🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
hal9ai - Hal9 — Data apps powered by code and LLMs [Moved to: https://github.com/hal9ai/hal9]
lernapparat - Various Notebooks for Lernapparat.de
maze-lightning - This simple project approximates the shape of lightning by generating a random maze using Randomized Prim's algorithm and solving it using breadth-first search.
functorch - functorch is JAX-like composable function transforms for PyTorch.
bias-monitor - A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more