Freudian-Clip VS spark-nlp-workshop

Compare Freudian-Clip vs spark-nlp-workshop and see what are their differences.

Freudian-Clip

some code snippets for my blog post! (by Felicious)

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark. (by JohnSnowLabs)
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Freudian-Clip spark-nlp-workshop
1 16
0 1,006
- 1.8%
3.6 9.6
over 2 years ago 1 day ago
Python Jupyter Notebook
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

Freudian-Clip

Posts with mentions or reviews of Freudian-Clip. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-13.
  • How AI is used for mental health therapy
    2 projects | dev.to | 13 Jan 2022
    If you’re kind of confused yet curious, you can find the list for part of speech abbreviations here and try this example for yourself using my code snippet! Essentially, what’s happening in the code is that we need to separate sentences into individual words, mark their part of speech, and entity labels like in this excerpt:

spark-nlp-workshop

Posts with mentions or reviews of spark-nlp-workshop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

What are some alternatives?

When comparing Freudian-Clip and spark-nlp-workshop you can also consider the following projects:

spark-nlp - State of the Art Natural Language Processing

spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.

proton - A streaming SQL engine, a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse.

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.

magika - Detect file content types with deep learning