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  • the peculiar case of japanese web design - sabrinas.space

    the peculiar case of japanese web design a project that should not have taken 8 weeks how is japanese web design different? in this 2013 Randomwire blog post, the author (David) highlighted an intriguing discrepancy in Japanese design. While the nation is known abroad for minimalist lifestyles, their websites are oddly maximalist. The pages feature a variety of bright colours (breaking the 3 colou

    • Things we learned about LLMs in 2024

      31st December 2024 A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023. In this article: The GPT-4 barrier was comprehensively broken Some of those GPT-4 models run on my laptop LLM pri

        Things we learned about LLMs in 2024
      • Rustでグラフをplotするライブラリのまとめ - Stimulator

        - はじめに - Rustでグラフを描画したいと思った時に調べたクレートとその実装、機能のまとめた時のメモ。 現状はplottersを使っておけば間違いなさそうだが、目的によっては機能で選択する場合もありそう。 - はじめに - - 前提知識 - - グラフ描画クレートざっくりまとめ - plotters plotly plotlib poloto rustplotlib RustGnuplot preexplorer vega_lite_4.rs dataplotlib chord_rs - アスキーアート系のクレート - - 記事外で参考になりそうな記事 - - おわりに - - 前提知識 - グラフの描画までの機能としては、matplotlibのようにaxisやviewを構造体として持っているライブラリもあれば、受け取った配列をそのままgnuplotのスクリプトに変換するライブラリも

          Rustでグラフをplotするライブラリのまとめ - Stimulator
        • AST vs. Bytecode: Interpreters in the Age of Meta-Compilation

          233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete

          • April 2022 (version 1.67)

            Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.67.1: The update addresses this security issue. Update 1.67.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2022 release of Visual Studio Code. There are many updates in this version that we hope

              April 2022 (version 1.67)
            • July 2022 (version 1.70)

              Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.70.1: The update addresses these issues. Update 1.70.2: The update addresses these issues. Update 1.70.3: This update is only available for Windows 7 users and is the last release supporting Windows 7. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welc

                July 2022 (version 1.70)
              • アルゴリズムトレード入門 ~ python で自動取引を始めてみる ~ - GMOインターネットグループ グループ研究開発本部

                はじめに こんにちは、次世代システム研究室のT.I.です。 みなさま、本日もお仕事お疲れ様です。今回は楽して儲けたい(?)というテーマで株式や為替などの自動取引について紹介したいと思います。過去にも同様のテーマでのブログはありますが、いったん初心にかえって1から入門編として始めたいと思います。AIで自動取引というと小難しい数学を駆使して応用すると思われるかもしれませんが、実は簡単な計算の組み合わせだけで出来るので実際に手を動かして感覚を掴んでいただければと思います。 Pythonでゼロ(?)から始める自動取引 データ収集 まず、最初にデータを準備する必要があります。為替レートや株価などは様々なsiteで公開されていますが、一旦 download したり、少々手間ですよね。python library の1つである、pandas_datareader を利用すると、簡単に様々なデータソースか

                  アルゴリズムトレード入門 ~ python で自動取引を始めてみる ~ - GMOインターネットグループ グループ研究開発本部
                • Announcing Observable 2.0

                  Today we’re launching Observable 2.0 with a bold new vision: an open-source static site generator for building fast, beautiful data apps, dashboards, and reports. Our mission is to help teams communicate more effectively with data. Effective presentation of data is critical for deep insight, nuanced understanding, and informed decisions. Observable notebooks are great for ephemeral, ad hoc data ex

                    Announcing Observable 2.0
                  • Ordering Movie Credits With Graph Theory

                    At Endcrawl we're always thinking about the hard work that goes into making film and TV, and how that work translates to on-screen credits. A feature film may involve thousands of people, hundreds of distinct job titles or "roles," and dozens of departments. So there's plenty for a producer to worry about, like: Did we forget or misspell a name? Is this the correct way to credit that role? Do all

                      Ordering Movie Credits With Graph Theory
                    • Transformer models: an introduction and catalog — 2023 Edition

                      Transformer models: an introduction and catalog — 2023 Edition January 16, 2023 52 minute read This post is now an ArXiV paper that you can print and cite. Update 05/2023 Another pretty large update after 4 months. I was invited to submit the article to a journal, so I decided to enlist some help from some LinkedIn colleages and completely revamp it. First off, we added a whole lot of new models,

                        Transformer models: an introduction and catalog — 2023 Edition
                      • August 2021 (version 1.60)

                        Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.60.1: The update addresses these issues. Update 1.60.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the August 2021 release of Visual Studio Code. There are many updates in this version that we hope you w

                          August 2021 (version 1.60)
                        • Training a reinforcement learning Agent with Unity and Amazon SageMaker RL | Amazon Web Services

                          Artificial Intelligence Training a reinforcement learning Agent with Unity and Amazon SageMaker RL Unity is one of the most popular game engines that has been adopted not only for video game development but also by industries such as film and automotive. Unity offers tools to create virtual simulated environments with customizable physics, landscapes, and characters. The Unity Machine Learning Age

                            Training a reinforcement learning Agent with Unity and Amazon SageMaker RL | Amazon Web Services
                          • Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger | Amazon Web Services

                            Artificial Intelligence Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger At AWS re:Invent 2020, AWS released the profiling functionality for Amazon SageMaker Debugger. In this post, we expand on the importance of profiling deep neural network (DNN) training, review some of the common performance bottlenecks you might encounter, and demonstrate h

                              Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger | Amazon Web Services
                            • Plan 9 Desktop Guide

                              PLAN 9 DESKTOP GUIDE INDEX What is Plan 9? Limitations and Workarounds Connecting to Other Systems VNC RDP SSH 9P Other methods Porting Applications Emulating other Operating Systems Virtualizing other Operating Systems Basics Window Management Copy Pasting Essential Programs Manipulating Text in the Terminal Acme - The Do It All Application Multiple Workspaces Tiling Windows Plumbing System Admin

                              • Visualisation Libraries - JavaScript, Python and More

                                The libraries and toolkits discussed in this article can be used for rendering dynamic plot on desktop, mobile and web-based platforms so that a quick summary of results can be presented. These tools can be used by data scientists and researchers for an effective analysis of dynamic data. But, before moving on to these tools/libraries, let's look at some obvious points! The key features and charac

                                  Visualisation Libraries - JavaScript, Python and More
                                • Julia 1.6: what has changed since Julia 1.0?

                                  Julia 1.0 came out well over 2 years ago. Since then a lot has changed and a lot hasn’t. Julia 1.0 was a commitment to no breaking changes, but that is not to say no new features have been added to the language. Julia 1.6 is a huge release and it is coming out relatively soon. RC-1 was released recently. I suspect we have at least a few more weeks before the final release. The Julia Core team take

                                  • Interactive Learning Tools For Front-End Developers — Smashing Magazine

                                    There are plenty of interactive ways to learn new web development skills. We learn better by playing games. So we’ve collected interactive coding tools and games to help you learn CSS, JavaScript, SQL, React, Vim, regular expressions, Jamstack and pretty much everything in-between. Louis shares a comprehensive, categorized list of such tools covering a variety of different development technologies

                                      Interactive Learning Tools For Front-End Developers — Smashing Magazine
                                    • Data Visualization Using Python

                                      We have seen that Python language is a powerful tool for data science and data operations, but how powerful is Python for Data visualization? One of the key responsibilities of Data scientists is to communicate results effectively with the stakeholders. This is where the power of visualization comes into play. Creating effective visualizations helps businesses identify patterns and subsequently he

                                        Data Visualization Using Python
                                      • Fundamentals of Matplotlib Library for Data Science

                                        This article will discuss the Matplotlib library,” in the data scientist’s toolbox on Python. Matplotlib is a library very commonly used by data scientists…. In addition to “Matplotlib,” “Pandas,” and “NumPy” are important parts of the data scientist’s toolbox. Introduction to MatplotlibIs it possible to know your data’s trend or pattern without visualization? In my view, the answer is definitely

                                          Fundamentals of Matplotlib Library for Data Science
                                        • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                                          ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                                            GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
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