openvino-ai-plugins-gimp VS spark-nlp-workshop

Compare openvino-ai-plugins-gimp vs spark-nlp-workshop and see what are their differences.

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark. (by JohnSnowLabs)
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openvino-ai-plugins-gimp spark-nlp-workshop
5 16
380 1,006
11.6% 1.8%
8.8 9.6
13 days ago 7 days ago
Python Jupyter Notebook
Apache License 2.0 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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openvino-ai-plugins-gimp

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

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 openvino-ai-plugins-gimp and spark-nlp-workshop you can also consider the following projects:

stable-gimpfusion - A Gimp plugin that brings StableDiffusion functionality through Automatic1111's API

spark-nlp - State of the Art Natural Language Processing

axodox-machinelearning - This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.

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

WhisperFusion - WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.

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

jepa - PyTorch code and models for V-JEPA self-supervised learning from video.

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.

ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

magika - Detect file content types with deep learning

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

openvino - OpenVINOâ„¢ is an open-source toolkit for optimizing and deploying AI inference