spark-nlp-workshop
openvino-ai-plugins-gimp
| spark-nlp-workshop | openvino-ai-plugins-gimp | |
|---|---|---|
| 16 | 5 | |
| 999 | 358 | |
| 1.1% | 6.1% | |
| 9.6 | 8.8 | |
| 3 days ago | 7 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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
openvino-ai-plugins-gimp
- FLaNK Stack Weekly 19 Feb 2024
- FLaNK Stack 05 Feb 2024
- Intel slaps forehead, says I got it: AI PCs. Sell them AI PCs
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Has anyone tried training SD models on the A770?
Apparently, you still have to use OpenVino as a plugin in GIMP for access to Stable Diffusion with the ARC A770. https://github.com/intel/openvino-ai-plugins-gimp
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We really need an Automatic1111 Gimp extension
It seems that Intel already has something similar, a plugin for GIMP called openvino-ai-plugins-gimp. Stable diffusion included.
What are some alternatives?
spark-nlp - State of the Art Natural Language Processing
stable-gimpfusion - A Gimp plugin that brings StableDiffusion functionality through Automatic1111's API
spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.
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.
proton - A streaming SQL engine, a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse.
WhisperFusion - WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.
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.
jepa - PyTorch code and models for V-JEPA self-supervised learning from video.
magika - Detect file content types with deep learning
ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
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