spark-nlp
clj-djl
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spark-nlp | clj-djl | |
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87 | 4 | |
3,651 | 31 | |
1.6% | - | |
9.4 | 0.0 | |
2 days ago | almost 2 years ago | |
Scala | Clojure | |
Apache License 2.0 | 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.
spark-nlp
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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.
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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.
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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!
I saw Wav2Vec2 a couple of releases ago: https://github.com/JohnSnowLabs/spark-nlp/releases/tag/4.2.0
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Data science in Scala
I am not aware of common open frameworks like Tensorflow, PyTorch or Scikit-learn for Scala. But specifically for natural language processing, there's SparkNLP from John Snow Labs.
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Spark-NLP 4.1.0 Released: Vision Transformer (ViT) is here! The very first Computer Vision pipeline for the state-of-the-art Image Classification task, AWS Graviton/ARM64 support, new EMR & Databricks support, 1000+ state-of-the-art models, and more!
NEW: Introducing ViTForImageClassification annotator in Spark NLP 🚀. ViTForImageClassification can load Vision Transformer ViT Models with an image classification head on top (a linear layer on top of the final hidden state of the [CLS] token) e.g. for ImageNet. This annotator is compatible with all the models trained/fine-tuned by using ViTForImageClassification for PyTorch or TFViTForImageClassification for TensorFlow models in HuggingFace 🤗 (https://github.com/JohnSnowLabs/spark-nlp/pull/11536)
- Spark-NLP 4.0.0 🚀: New modern extractive Question answering (QA) annotators for ALBERT, BERT, DistilBERT, DeBERTa, RoBERTa, Longformer, and XLM-RoBERTa, official support for Apple silicon M1, support oneDNN to improve CPU up to 97%, improved transformers on GPU up to +700%, 1000+ SOTA models
- How can you do efficient text preprocessing?
- John Snow Labs Spark-NLP 3.4.0: New OpenAI GPT-2, new ALBERT, XLNet, RoBERTa, XLM-RoBERTa, and Longformer for Sequence Classification, support for Spark 3.2, new distributed Word2Vec, extend support to more Databricks & EMR runtimes, new state-of-the-art transformer models, bug fixes, and lots more!
clj-djl
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November 2021 workshops -- please comment about your preferences
You may wish to add clj-djl to your list.
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2021-09 - Plans & Hopes for Clojure Data Science
Regarding Tensorflow: As far as I understand, it is accessible through DJL, which has a Clojure wrapper (work in progress): clj-djl. (But I haven't tried it.)
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Announcement of first beta version of new Clojure machine learning library, scicloj.ml
We have currently three 4 plugins into existing ml libraries: https://github.com/scicloj/scicloj.ml.smile https://github.com/scicloj/scicloj.ml.xgboost https://github.com/scicloj/sklearn-clj https://github.com/scicloj/clj-djl
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
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.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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)
cobrix - A COBOL parser and Mainframe/EBCDIC data source for Apache Spark
spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.
spark-nlp-workshop - Public runnable examples of using John Snow Labs' NLP for Apache Spark.
beto - BETO - Spanish version of the BERT model
web-ai - Run modern deep learning models in the browser.