SynapseML
spark-nlp
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| SynapseML | spark-nlp | |
|---|---|---|
| 18 | 87 | |
| 4,967 | 3,682 | |
| 0.6% | 1.5% | |
| 8.9 | 9.4 | |
| 2 days ago | 1 day ago | |
| Scala | Scala | |
| MIT License | Apache License 2.0 |
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.
SynapseML
- FLaNK Stack Weekly for 12 September 2023
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Microsoft announces new tool for applying ChatGPT and GPT-4 at massive scales
Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.11.0
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Data science in Scala
b) There are libraries around e.g. Microsoft SynapseML, LinkedIn Photon ML
- [N] Microsoft Announces New Integrations with OpenAI and MLFlow
- [N] Microsoft Releases new Integrations with OpenAI and MLflow as part of SynapseML
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[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
- Microsoft releases SynapseML v0.9.5 for distributed geospatial analytics, speech synthesis, and anomaly detection in PySpark.
- [P] SynapseML v0.9.5 announces support for geospatial analytics, speech synthesis, and anomaly detection on large-scale datasets
- Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on Apache Spark
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!
What are some alternatives?
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Tensorflow_scala - TensorFlow API for the Scala Programming Language
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.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Breeze - Breeze is a numerical processing library for Scala.
clj-djl - clojure wrap for deep java library(DJL.ai)
azure-kusto-spark - Apache Spark Connector for Azure Kusto
Tribuo - Tribuo - A Java machine learning library