numjs
transformers.js
numjs | transformers.js | |
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6 | 26 | |
2,346 | 7,507 | |
- | - | |
0.0 | 9.4 | |
4 months ago | 9 days ago | |
JavaScript | JavaScript | |
MIT License | Apache License 2.0 |
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numjs
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Deep Learning in JavaScript
BTW: you might want to add support for typed arrays.
See: https://github.com/xenova/transformers.js/blob/8804c36591d11...
This is really old, but added as part of the shape of the vector as well: https://github.com/nicolaspanel/numjs/blob/master/src/dtypes...
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5 best JavaScript multidimensional array libraries
NumJs is a JavaScript library inspired by Python's NumPy. NumJs, while not as comprehensive as some of the other libraries on this list, supports multidimensional arrays and contains fundamental mathematical operations and functions.
- GPU.js
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JavaScript for Data Science
The first repo has one core contribitor who hasn't been active since June 2018.
https://github.com/nicolaspanel/numjs/graphs/contributors
I believe it could be possible for JavaScript to be a viable language ecosystem, but there is dire need for cohesion, collaboration, and longevity. As it stands, there many potentially viable projects strewn across the NPM landscape like old, discarded toys.
I'm not aware of an initiative, let alone ethos, in the JS community that comes anywhere close to something like NumFocus.
https://numfocus.org/
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Use python libraries in MERN apps.
This could work as an alternative https://github.com/nicolaspanel/numjs
transformers.js
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Transformers.js: Machine Learning for the Web
We have some other WebGPU demos, including:
- WebGPU embedding benchmark: https://huggingface.co/spaces/Xenova/webgpu-embedding-benchm...
- Real-time object detection: https://huggingface.co/spaces/Xenova/webgpu-video-object-det...
- Real-time background removal: https://huggingface.co/spaces/Xenova/webgpu-video-background...
- WebGPU depth estimation: https://huggingface.co/spaces/Xenova/webgpu-depth-anything
- Image background removal: https://huggingface.co/spaces/Xenova/remove-background-webgp...
You can follow the progress for full WebGPU support in the v3 development branch (https://github.com/xenova/transformers.js/pull/545).
To answer your question, while there are certain ops missing, the main limitation at the moment is for models with decoders... which are not very fast (yet) due to inefficient buffer reuse and many redundant copies between CPU and GPU. We're working closely with the ORT team to fix these issues though!
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Deep Learning in JavaScript
BTW: you might want to add support for typed arrays.
See: https://github.com/xenova/transformers.js/blob/8804c36591d11...
This is really old, but added as part of the shape of the vector as well: https://github.com/nicolaspanel/numjs/blob/master/src/dtypes...
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Deja-Vu your AI✦ Bookmarking Tool
Made possible by Xenova and Supabase / gte-small
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Extracting YouTube video data with OpenAI and LangChain
To build the application, you’ll use the youtube-transcript package to retrieve YouTube video transcripts. You will then use LangChain and the Transformers.js package to generate free Hugging Face embeddings for the given transcript and store them in a vector store instead of relying on potentially expensive OpenAI embeddings. Lastly, you will use LangChain and an OpenAI model to retrieve information stored in the vector store.
- Transformers.js releases Zero-shot audio classification support
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How to Use AI/ML Models for Your Projects
Transformers.js: A groundbreaking library, Transformers.js brings transformer models like GPT-3, BERT, and Whisper straight to your browser. With the introduction of technologies like webGPU and LLM, Transformers.js has garnered significant attention. If you’d like to learn how to integrate a small model in the UI, check out their code and examples here.
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Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks
The announcement seems somewhat disingenuous. The PR[1] found from their release notes[2] seems to contain only boilerplate and no real support for Mistral models or their weights.
[1]: https://github.com/xenova/transformers.js/pull/379
- Transformers.js
- Transformers.js: Run Machine Learning models directly in the browser
- What is the most cost-efficient way to have an embedding generator endpoint that is using an open-source embedding model? [Q]
What are some alternatives?
gpu.js - GPU Accelerated JavaScript
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
ndarray - 📈 Multidimensional arrays for JavaScript
web-ai - Run modern deep learning models in the browser.
node - Node.js JavaScript runtime ✨🐢🚀✨
spark-nlp - State of the Art Natural Language Processing
webgpu-blas - Fast matrix-matrix multiplication on web browser using WebGPU
memory64 - Memory with 64-bit indexes
headless-gl - 🎃 Windowless WebGL for node.js
vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud