spark-nlp
pyspark_nlp_workshop
| spark-nlp | pyspark_nlp_workshop | |
|---|---|---|
| 87 | 2 | |
| 3,695 | 12 | |
| 1.2% | - | |
| 9.3 | 3.9 | |
| 12 days ago | 12 months ago | |
| Scala | Jupyter Notebook | |
| Apache License 2.0 | - |
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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!
pyspark_nlp_workshop
- PySpark for NLP workshop – Jupyter notebooks and instructions
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PySpark for NLP Workshop - Materials and Jupyter Notebooks
For anyone interested, I've made the Jupyter notebooks from the workshop available, complete with instructions to get them up and running on Databricks. You can find them here: https://github.com/analyticalmonk/pyspark_nlp_workshop.
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
SynapseML - Simple and Distributed Machine Learning
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
workshop-introduction-to-machine-learning - Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
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.
ESG-AI-investment-by-streamlit - ESG-investment AI
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
synapse-azure-data-explorer-101 - Getting started with Azure Synapse and Azure Data Explorer
clj-djl - clojure wrap for deep java library(DJL.ai)
Tribuo - Tribuo - A Java machine learning library
libpython-clj - Python bindings for Clojure
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)