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Spark-nlp Alternatives
Similar projects and alternatives to spark-nlp
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spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
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onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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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.
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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gector
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
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spark-nlp-display
A library for the simple visualization of different types of Spark NLP annotations.
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nov2021-workshops
The November 2021 pre-conference workshops of re:Clojure
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spark-nlp reviews and mentions
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and similar projects. The last one was on 2022-11-05.
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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!
- November 2021 workshops -- please comment about your preferences
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Release John Snow Labs Spark-NLP 3.2.0: New Longformer embeddings, BERT and DistilBERT for Token Classification, GraphExctraction, Spark NLP Configurations, new state-of-the-art multilingual NER models, and lots more! · JohnSnowLabs/spark-nlp
For full release notes please visit https://github.com/JohnSnowLabs/spark-nlp/releases/tag/3. usage. You can easily change Spark NLP configurations in SparkSession. For more examples please visit
Everything in the main repo (code, content, media, artifacts, jars, PyPI, Conda, etc.) is licensed under Apache 2.0 and is open-source and forever free: https://github.com/JohnSnowLabs/spark-nlp
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A note from our sponsor - #<SponsorshipServiceOld:0x00007fea5907c6c8>
www.saashub.com | 31 Jan 2023
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7 days ago
JohnSnowLabs/spark-nlp is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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