SEO Keyword Graph Visualization | SEO Browser - TouchGraph.com
Products: TouchGraph Seo Browser Use this free Java application to explore the connections between related websites. Try it now! Enter keywords or a URL, and click 'Graph it!' See Getting Started below for more details. Getting Started Make sure you have the latest version of java, at least Java 1.5 Type in your search keywords or a URL, and press "Graph It!" Say "Run" when asked "Do you want to t
大規模言語モデルの構造を3Dで視覚化してどんな計算が行われているのかを見やすく表示してくれるサイト「LLM Visualization」
ChatGPTなどのチャットAIは、内部で多数の計算を行って文章を生成しています。「LLM Visualization」は内部でどのようなパラメーターが保存されていてどういった計算が行われているのかを3D形式で見やすく視覚化してくれるサイトとなっています。 LLM Visualization https://bbycroft.net/llm サイトにアクセスするとこんな感じ。画面の左側に解説、右側に3Dモデルが設置されています。解説の「Continue」をクリックしてみます。 解説では約8万5000パラメーターのモデル「nano-gpt」で3種類の文字を並び替えるタスクを行い、大規模言語モデル内部の計算を確認していくとのこと。スペースキーを押すことで次のセクションへと進めます。 解説の段階に応じて3Dモデルの注目するべき場所がアップになるため、どの場所の話をしているのかが分かりやすくなって
GitHub - pcottle/learnGitBranching: An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
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Visualization: Motion Chart | Charts | Google for Developers
Send feedback Visualization: Motion Chart Stay organized with collections Save and categorize content based on your preferences. Overview A dynamic chart to explore several indicators over time. The chart is rendered within the browser using Flash. Note for Developers: Because of Flash security settings, this (and all Flash-based visualizations) might not work correctly when accessed from a file l
Google Chart Tools / Interactive Charts (aka Visualization API) - Google Code
Google Chart Tools / Interactive Charts (aka Visualization API) Home Docs FAQ Group Terms How do I start? Learn to use visualizations by reading the Developer's Guide. Visit the Visualization Gallery and the Gadget Gallery to see visualizations are available. Learn how to build your own public data source. Read the Creating Visualizations guide to learn how to write new visualizations. Share your
Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look at three of the most common ways in which visualizations can be misleading. Truncated Y-AxisOne of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatte
eXpanda -Integrated Platform for Network Analysis and Visualization-
Negishi Y., Nakamura H., Yachie N., Saito R., Tomita M., (2007), eXpanda: an integrated platform for network analysis and visualization.In Silico Biology 7, 0013. Overview Analysis and visualization of biological networks, such as protein-protein and protein-DNA interactions, are crucially important toward obtaining a thorough understanding of living systems. Here, we present an integrative softwa
Ken Kawamoto（ガリのほう） on Twitter: "２階に置いたWifiルーターが繋がりにくいので、ARで電波強度を可視化してみた。こんなのを２０分で作れるARCoreすごい。 AR Visualization of Wifi signal strength in my house. https://t.co/UVuHCRYfeX"
２階に置いたWifiルーターが繋がりにくいので、ARで電波強度を可視化してみた。こんなのを２０分で作れるARCoreすごい。 AR Visualization of Wifi signal strength in my house. https://t.co/UVuHCRYfeX
Before we went live with the new Rails site at CarePages, we decided to use Munin for monitoring. We needed to write a few custom plugins to visualize application health. Fortunately, Munin plugins are really easy to write - I'll provide the source for a couple of them. We wrote plugins for Passenger process status, Passenger memory stats, Rails response time, Rails hits, the ARMailer queue, and t
Introducing DataViz a data-structure visualization library for Golang
As someone who really loves solving cool problems with complex data structures, I really can’t emphasize how important data structures are to becoming a good software developer. I myself learnt and understood basic data structures many years ago. As a software developer one of my most important realizations is that the skills I developed from understanding and implementing data-structures had many
Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. Buy from Amazon Buy from Powell's Buy from the Publisher “Finally! A data visualization guide that is simultaneously practical and elegant. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. Data Visualization is brimming with insights into how quantitative analysts can
GrowthForecast との比較 Ruby on Rails 製であるため、一緒に使うことが多い Fluentd と親和性が高いです RRDTool を使っていません。RRDTool の生成するグラフに見飽きた方にぴったりです。 Heroku 上で動作することを前提に作られています。そのため、リポジトリを push するだけですぐ使えます。 API キーを知らなければデータを post できないように作られています。 その他の機能は GrowthForecast よりも少ないです。 ドキュメント マニュアル ブログ記事
Great R packages for data import, wrangling, and visualization
The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if you want more information. To find out more about a package once you’ve installed it, type help(package = "packagename") in your R console (of course substituting the actual package name ). My favorite
vx is collection of reusable low-level visualization components. vx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM. GoalThe goal is to create a library of components you can use to make both your own reusable chart library or your slick custom one-off chart. vx is largely unopinionated and is meant to be build on top of. Keep your bundle siz
TensorFlow のチュートリアルは、Jupyter ノートブックとして作成されており、セットアップを必要としないホスト型ノートブック環境である Google Colab で直接実行されます。[Google Colab で実行] ボタンをクリックします。 入門者向け まずは、利用しやすい Keras Sequential API の使用をおすすめします。構成要素をつなぎ合わせてモデルを構築します。チュートリアルの後で、Keras ガイドをご覧ください。
GitHub - visgl/deck.gl: WebGL2 powered visualization framework
deck.gl is designed to simplify high-performance, WebGL2/WebGPU based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leverage deck.gl's extensible architecture to address custom needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at t
芹澤、Excelの使い過ぎで心が折れそうな私たちをOracle Data Visualization Cloud Serviceで救う
芹澤、Excelの使い過ぎで心が折れそうな私たちをOracle Data Visualization Cloud Serviceで救う：私たちの「脱・Excel」～新人女子社員がやってみたクラウドBI（1）（1/3 ページ） 「誰も加工・修正ができないマクロが仕込まれた業務データ」「一覧性のない資料」「使い手のITスキルに依存するデータ管理」……。 どうすれば、企業にはびこる「Excelの使い過ぎ」による不幸を改善できるのでしょうか？ それは「仕事のあるある」じゃない ちょっとした集計や資料作成にとっても便利なのがExcel。でも、みんなが使い過ぎて、便利なはずがややこしくなるって、少なくないですよね。今までも「Excelいらず」なんていう触れ込みのツールはたくさんあったけれど、使いにくかったり、難しかったりしました。結局、どの職場も大事な情報が詰まったExcelファイルをいっぱい管理して
GitHub - codilime/veles: Binary data analysis and visualization tool
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muchonov on Twitter: "「土地は投票しない。投票するのは、人間」。地図を塗り分けると大半が赤く見えるけど、人口軸でバブルチャートにすると様相が一変する。data visualizationの仕方で大きく印象が変わる例。 https://t.co/HevG2XhuTW"
「土地は投票しない。投票するのは、人間」。地図を塗り分けると大半が赤く見えるけど、人口軸でバブルチャートにすると様相が一変する。data visualizationの仕方で大きく印象が変わる例。 https://t.co/HevG2XhuTW
What is Graphviz? Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. Features The Graphviz layout progr
Big Picture is now part of Google's People + AI Research. This site is no longer maintained-- please see the PAIR site for our current work. We explore how information visualization can make complex data accessible, useful, and even fun. Our focus is on ways to illuminate the data and algorithms used in machine intelligence.
Graph Visualization and Social Network Analysis Software | Amazon - TouchGraph.com
Products: Amazon TouchGraph Browser This free visualization will let you explore the connections between books, music, or movies. Try it now! Enter a keyword, such as the name of a book, author, or movie, and click 'Graph it!' See Getting Started below for more details.
Matplotlib and the Future of Visualization in Python | Pythonic Perambulations
Last week, I had the privilege of attending and speaking at the PyCon and PyData conferences in Santa Clara, CA. As usual, there were some amazing and inspiring talks throughout: I would highly recommend browsing through the videos as they are put up on pyvideo. One thing I spent a lot of time thinking, talking, and learning about during these two conferences was the topic of data visualization in
Making Instant C# Viable – Part 1 Making Instant C# Viable – Part 2 Visualization I’ve spent a lot of time talking about how to actually make it work, but the internals could be perfect and the project would be worthless without a viable way to visualize the information. In Bret and I’s original prototypes, everything is simply dumped to text next to the code. However, certain elements (such as l
Makeup Virtual Try-On The ModiFace Makeup Virtual Try On allows you to view color cosmetics products in an augmented reality experience. You can easily preview all lip, eye, cheek, face, and brow products on your live video or image. Use our easy to embed miniprogram or our customizable SDK to create various virtual try on experiences, including product page integrations, standalone instant looks,
GitHub - rewonc/pastalog: Simple, realtime visualization of neural network training performance.
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Visualization: @replies (Archive) On Twitter, we saw a 500% increase in Tweets from Japan as people reached out to friends, family and loved ones in the moments after the March 2011 earthquake. This video shows the volume of @replies traveling into and out of Japan in a one-hour period just before and then after the earthquake. Replies directed to users in Japan are shown in pink; messages directe
We’ve been talking about Web 2.0 for so long now it’s already passé to argue about what it means and what it doesn’t. But one thing’s for sure, there’s a lot of data out there on the web these days. And as web designers, we’re designing a lot of data-driven sites. There are plenty of options out there for data visualization, too. Google’s recently-announced Charts API is a great example, but there
seaborn: statistical data visualization — seaborn 0.13.2 documentation
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery
B-Trees Algorithm Visualizations
GitHub - terkelg/awesome-creative-coding: Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
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Architectural Visualization Hub - 3D Architectural Visualization & Rendering Blog
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Introducing Altair for declarative statistical visualization in Python. Talk given at the Puget Sound Python meetup, Nov 9, 2016
Google Visualization API Reference | Charts | Google for Developers
Send feedback Google Visualization API Reference Stay organized with collections Save and categorize content based on your preferences. This page lists the objects exposed by the Google Visualization API, and the standard methods exposed by all visualizations. Note: The Google Visualization API namespace is google.visualization.* A Note on Arrays Some browsers don't properly handle trailing commas
This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Visualization" graphics – news · newspapers · books · scholar · JSTOR (February 2013) (Learn how and when to remove this message) Visualization of how a car deforms in an asymmetrical crash using finite
Expressive Axiis gives developers the ability to expressively define their data visualizations through concise and intuitive markup. Axiis has been designed with a specific focus on elegant code, where your code can be just as beautiful as your visual output. Concise By leveraging {inline} Flex Binding and the Axiis markup syntax you don't need to write volumes of code to produce amazing results.
On January 6th, 2016, The New York Public Library made over 187K digital items in the public domain available for high resolution download. This is one of many experiments by the NYPL Labs to help patrons understand and explore what was contained in that release.
私のブックマーク：情報可視化とデジタルミュージアム 角 康之（ATR知能映像通信研究所） 1. はじめに 今回は、情報可視化とデジタルミュージアムに関連するWebページを紹介します。 まず言い訳を…。これは、情報可視化技術やデジタルミュージアムの学術研究に直接役立つような網羅的なサーベイを目指したものではありません。網羅的なサーベイや体系だった解説論文であれば過去にいくつかありますし、有用なWebページのリストについても、例えば、増井俊之氏による私のブックマーク：ヒューマンインタフェース編（本誌 Vol.14, No.4）がありますので、それらを合わせてご覧ください。 それにしても、なぜ「情報可視化」と「デジタルミュージアム」が一緒になってるんだ、と不思議に思う方が多いと思います。それは単に、私自身が普段ネットサーフしていて面白いと思ったページを集めてみたらこうなったからなんです。でも
GitHub - CatSnake11/webpack-ops: 📁 webpack bundle visualization // optimization // config tool
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How to Lie with Data Visualization
Rails Application Visualization - Dan Manges's Blog
Data Visualization
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Visualization (graphics) - Wikipedia
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My Bookmark: Information Visualization & Digital Museum