Articles for category: AI Tools

explosion/spacy-streamlit: đź‘‘ spaCy building blocks and visualizers for Streamlit apps

This package contains utilities for visualizing spaCy models and building interactive spaCy-powered apps with Streamlit. It includes various building blocks you can use in your own Streamlit app, like visualizers for syntactic dependencies, named entities, text classification, semantic similarity via word vectors, token attributes, and more. You can install spacy-streamlit from pip: pip install spacy-streamlit The package includes building blocks that call into Streamlit and set up all the required elements for you. You can either use the individual components directly and combine them with other elements in your app, or call the visualize function to embed the whole visualizer.

Accelerating over 130,000 Hugging Face models with ONNX Runtime

ONNX Runtime is a cross-platform machine learning tool that can be used to accelerate a wide variety of models, particularly those with ONNX support. Hugging Face ONNX Runtime Support There are over 130,000 ONNX-supported models on Hugging Face, an open source community that allows users to build, train, and deploy hundreds of thousands of publicly available machine learning models. These ONNX-supported models, which include many increasingly popular large language models (LLMs) and cloud models, can leverage ONNX Runtime to improve performance, along with other benefits. For example, using ONNX Runtime to accelerate the whisper-tiny model can improve average latency per

Revolutionizing Satellite Missions: The Future of Gravity Field Recovery

Imagine a world where the mysteries of our planet’s gravitational field are unraveled, revealing secrets that could transform everything from climate modeling to natural disaster prediction. As we stand on the brink of a new era in satellite missions, understanding gravity field recovery is not just an academic pursuit; it’s essential for addressing some of humanity’s most pressing challenges. Have you ever wondered how satellites can help us comprehend the forces shaping our Earth? Or what innovative technologies are pushing the boundaries of what’s possible in space exploration? In this blog post, we will delve into the fascinating realm of

The Physical Traits that Define Men and Women in Literature

A project from the The Pudding The physical traits that define men & women in literature The physical traits that definemen & women in literature This all started with a particularly sexy fairy. My book club was reading The Wise Man’s Fear by Patrick Rothfuss. In the middle of an otherwise unremarkable plot, we found a 35-page interlude about a highly attractive fairy, describing her body in minute, eye-rolling detail.

Serverless Gradio Running Entirely in Your Browser

Gradio is a popular Python library for creating interactive machine learning apps. Traditionally, Gradio applications have relied on server-side infrastructure to run, which can be a hurdle for developers who need to host their applications. Enter Gradio-lite (@gradio/lite): a library that leverages Pyodide to bring Gradio directly to your browser. In this blog post, we’ll explore what @gradio/lite is, go over example code, and discuss the benefits it offers for running Gradio applications. What is @gradio/lite? @gradio/lite is a JavaScript library that enables you to run Gradio applications directly within your web browser. It achieves this by utilizing Pyodide, a

Scout & Morgan Books – DEV Community

How to Read a Book (Again) A lifetime ago, I was enrolled at an unaccredited music school in Kansas City. Focusing on the guitar, I studied songwriting and composition. In the footnotes of one of our assigned readings, I came across a reference to How to Read a Book. I put down the text, got in my car, and drove straight to the nearby big-chain-bookstore to grab my first copy. By the time I truly finished reading it, I was back in Minnesota, working as a carpenter. In the back of How to Read a Book is the greatest treasure:

How We Analyzed Google’s Search Results – The Markup

In recent years, Google has greatly expanded its delivery of search results that are meant to answer users’ queries right on the search page, with no need to click through, using information that Google scraped from the web or collected from partners. It has also expanded results that highlight Google-owned products, such as YouTube, Google Images, Google Maps, Google Flights, and a seemingly never-ending stream of “related” search queries that take users deeper and deeper into Google’s most valuable product, Search. These types of results, which we’re calling “modules,” often appear in boxes and have typically been visually distinct from

Exploring simple optimizations for SDXL

Stable Diffusion XL (SDXL) is the latest latent diffusion model by Stability AI for generating high-quality super realistic images. It overcomes challenges of previous Stable Diffusion models like getting hands and text right as well as spatially correct compositions. In addition, SDXL is also more context aware and requires fewer words in its prompt to generate better looking images. However, all of these improvements come at the expense of a significantly larger model. How much larger? The base SDXL model has 3.5B parameters (the UNet, in particular), which is approximately 3x larger than the previous Stable Diffusion model. To explore

Building an Automated Notes Publishing Pipeline at Zero Cost

Disclaimer: it is an English translation of my Chinese post using Gemini, I really don’t have time to write two versions of the same topic! At first, note two things: “Zero-cost” means “hard costs” excluding your time and effort. Cheers! “Note” is equivalent to “Summary”. Have you ever found yourself overwhelmed by the sheer number of links while browsing online? I certainly have. These links can be anything that piques your interest, whether from someone’s tweet, search results, or links within an article or video you’re reading. I suspect this need is not uncommon, as “read it later” plugins or

Changelog · Prodigy · An annotation tool for AI, Machine Learning & NLP

Select page…Get Started › Prodigy 101Get Started › Installation & SetupGet Started › ChangelogUsage › Named Entity RecognitionUsage › Span CategorizationUsage › Text ClassificationUsage › Dependencies & RelationsUsage › Computer VisionUsage › Audio & VideoUsage › Task RoutingUsage › Large Language ModelsUsage › ReviewUsage › Custom RecipesUsage › Custom InterfacesUsage › MetricsUsage › DeploymentAPI › RecipesAPI › Annotation InterfacesAPI › Web ApplicationAPI › Loaders & Input DataAPI › Components & FunctionsAPI › DatabasePlugins › Open Source PluginsPlugins › Single Sign-onPlugins › Modal This page lists the history of changes to Prodigy. Whenever a new update is available, you’ll receive an