spark-nlp-workshop
sent
| spark-nlp-workshop | sent | |
|---|---|---|
| 16 | 14 | |
| 999 | 24 | |
| 1.1% | - | |
| 9.6 | 0.0 | |
| 3 days ago | almost 3 years ago | |
| Jupyter Notebook | C | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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-workshop
- FLaNK Stack Weekly 19 Feb 2024
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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!
You can visit Spark NLP Workshop for 100+ examples
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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
I submitted a pull request here: https://github.com/JohnSnowLabs/spark-nlp-workshop/pull/552 that I think addresses both of those.
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How AI is used for mental health therapy
In SnowLab’s implementation, for example, they wrote a search function called get_clinical_entities that finds all mentions of medications for 100 patients, as well as specifications, if any, about the quantity and frequency the medication is consumed. The location of the sentence in the overall piece is also recorded, to locate the information easier.
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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!
There are so many examples here for Python users (I would start from tutorials/Certificate_Trainings): https://github.com/JohnSnowLabs/spark-nlp-workshop
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John Snow Labs Spark-NLP 3.1.0: Over 2600+ new models and pipelines in 200+ languages, new DistilBERT, RoBERTa, and XLM-RoBERTa transformers, support for external Transformers, and lots more!
Spark NLP Workshop notebooks
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Release John Snow Labs Spark-NLP 2.7.0: New T5 and MarianMT seq2seq transformers, detect up to 375 languages, word segmentation, over 720+ models and pipelines, support for 192+ languages, and many more! · JohnSnowLabs/spark-nlp
Spark NLP training certification notebooks for Google Colab and Databricks
Spark NLP training certification notebooks for Google Colab and Databricks
Spark NLP training certification notebooks for Google Colab and Databricks
Spark NLP training certification notebooks for Google Colab and Databricks
sent
- FLaNK Stack Weekly 19 Feb 2024
- Sent – simple plaintext presentation tool
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Marp: Markdown Presentation Ecosystem
See also: <https://tools.suckless.org/sent/>, which is similar but has an emphasis in minimalism and the Takakashi method (<https://en.wikipedia.org/wiki/Takahashi_method>)
- Sent: Simple Plaintext Presentation Tool
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What do you guys use for office?
Google Docs. If I need PowerPoint I mostly just use sent.
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Tool to create slideshow and export as ppt
If you prefer something more adventurous (as in "create your own export wrapper"), you can check out sent.
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Making Slides for Presentations
I use sent: https://tools.suckless.org/sent/
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Vim for presentation?
I like sent. You write in a text file, each paragraph being one slide. Idk how it handles gift but it supports images. It's very simple and limited in features, but if it fits your needs then it's as simple as it gets.
- making a school presentation in linux
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LPT: Powerpoint slides are supposed to be simple and brief. Nobody is going to read your wall of fancy text when you give your presentation.
This is why I love tools like Sent.
What are some alternatives?
spark-nlp - State of the Art Natural Language Processing
uzlib - Radically unbloated DEFLATE/zlib/gzip compression/decompression library. Can decompress any gzip/zlib data, and offers simplified compressor which produces gzip-compatible output, while requiring much less resources (and providing less compression ratio of course).
spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.
patat - Terminal-based presentations using Pandoc
proton - A streaming SQL engine, a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse.
mdp - A command-line based markdown presentation tool.
TensorRT-LLM - TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Diagon - Interactive ASCII art diagram generators. :star2:
magika - Detect file content types with deep learning
nnn - n³ The unorthodox terminal file manager
modwm - MODWM - Modular Dynamic Window Manager
vroom-pm - Vim Based Slideshow Presentations