spark-nlp
web-ai
| spark-nlp | web-ai | |
|---|---|---|
| 87 | 2 | |
| 3,695 | 774 | |
| 1.2% | - | |
| 9.3 | 7.2 | |
| 12 days ago | 5 months ago | |
| Scala | TypeScript | |
| Apache License 2.0 | MIT License |
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spark-nlp
- Spark NLP 5.1.0: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!
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PySpark for NLP Workshop - Materials and Jupyter Notebooks
I recently had the opportunity to run a workshop at ODSC East, focusing on using PySpark for Natural Language Processing (NLP). Had a great time explaining PySpark's fundamentals and exploring the Spark NLP library.
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
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Transformers.js
I'd like to use this transformer model in rust (because it's on the backend, because I can use data munging and it will be faster, and for other reasons). It looks like a good model! But, it doesn't compile on Apple Silicon for wierd linking issues that aren't apparent - https://github.com/guillaume-be/rust-bert/issues/338. I've spent a large part of today and yesterday attempting to find out why. The only other library that I've found for doing this kind of thing programmatically (particularly sentiment analysis) is this (https://github.com/JohnSnowLabs/spark-nlp). Some of the models look a little older, which is OK, but it does mean that I'd have to do this in another language.
Does anyone know of any sentiment analysis software that can be tuned (other than VADER - I'm looking for more along the lines of a transformer model) - like BERT, but is pretrained and can be used in Rust or Python? Otherwise I'll probably using spark-nlp and having to spin another process.
Thanks.
- Release John Snow Labs Spark-NLP 4.3.0: New HuBERT for speech recognition, new Swin Transformer for Image Classification, new Zero-shot annotator for Entity Recognition, CamemBERT for question answering, new Databricks and EMR with support for Spark 3.3, 1000+ state-of-the-art models and many more!
web-ai
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Transformers.js
How does this compare to this project: https://github.com/visheratin/web-ai
Does it support using custom ONNX models?
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Library for running deep learning models in the browser
The library repo - https://github.com/visheratin/web-ai
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
memory64 - Memory with 64-bit indexes
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
transformers.js - State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
clj-djl - clojure wrap for deep java library(DJL.ai)
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Tribuo - Tribuo - A Java machine learning library