ml5-library
Pytorch
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ml5-library | Pytorch | |
---|---|---|
16 | 336 | |
6,349 | 77,783 | |
0.8% | 2.4% | |
0.0 | 10.0 | |
4 months ago | 2 days ago | |
JavaScript | Python | |
GNU General Public License v3.0 or later | BSD 1-Clause 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!
Pytorch
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
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Building a GPT Model from the Ground Up!
import torch # we use PyTorch: https://pytorch.org data = torch.tensor(encode(text), dtype=torch.long) print(data.shape, data.dtype) print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
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Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
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Element-wise vs Matrix vs Dot multiplication
In PyTorch with * or mul(). ` or mul()` can multiply 0D or more D tensors by element-wise multiplication:
What are some alternatives?
tfjs-models - Pretrained models for TensorFlow.js
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
handpose-facemesh-demos - 🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
hal9ai - Hal9 — Data apps powered by code and LLMs [Moved to: https://github.com/hal9ai/hal9]
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
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.
flax - Flax is a neural network library for JAX that is designed for flexibility.
bias-monitor - A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more