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  • 50分で学ぶアルゴリズム / Algorithms in 50 minutes

    本スライドでは、有名なアルゴリズムを概観し、アルゴリズムに興味を持っていただくことを目標にします。 第 1 部:アルゴリズムとは 第 2 部:学年を当ててみよう 第 3 部:代表的なアルゴリズム問題 第 4 部:コンピュータとアルゴリズム

      50分で学ぶアルゴリズム / Algorithms in 50 minutes
    • Kyopro Encyclopedia of Algorithms (ア辞典)

      これはステージング環境です。5 秒後に自動的に本番環境 (https://dic.kimiyuki.net) にリダイレクトされます。リダイレクトを抑止したい場合は #noredirect を付けた URL /#noredirect を利用してください。 これは競プロの知見を収集するための査読付きの半共有 wiki である。 アルゴリズムについての説明が中心となっている。なお、データ構造については scrapbox.io/data-structures (通称: デ wiki) を利用するのがよいだろう。 個人ブログの記事として情報を書くと属人性が高すぎ、古い記事のメンテのコストが高く、記事が不正確なまま残りやすいという問題があった。一方で誰でも自由に編集できる共有 wiki であると属人性が低すぎ、誰が書いたのかが分かりにくいため適切なクレジットが行なわれず、また記事の正確性も担保されな

      • Algorithms for Decision Making

        • The Algorithms

          What is an Algorithm?An algorithm is a set of rules that takes in one or more inputs, then performs inner calculations and data manipulations and returns an output or a set of outputs. In short, algorithms make life easy. From complex data manipulations and hashes, to simple arithmetic, algorithms follow a set of steps to produce a useful result. One example of an algorithm would be a simple funct

            The Algorithms
          • Use Fast Data Algorithms | Joey Lynch's Site

            Disclaimer: There are lies, damn lies, and benchmarks from some random person on the internet. If you are considering taking some of the advice in this post please remember to test your specific workloads, which might have different bottlenecks. Also the implementation quality in your particular software stack for your particular hardware matters a lot. For this post I’ll be playing with a ~5 GiB

            • GitHub - xinntao/Real-ESRGAN: Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

              🔥 AnimeVideo-v3 model (动漫视频小模型). Please see [anime video models] and [comparisons] 🔥 RealESRGAN_x4plus_anime_6B for anime images (动漫插图模型). Please see [anime_model] 💥 Update online Replicate demo: Online Colab demo for Real-ESRGAN: | Online Colab demo for for Real-ESRGAN (anime videos): Portable Windows / Linux / MacOS executable files for Intel/AMD/Nvidia GPU. You can find more information here

                GitHub - xinntao/Real-ESRGAN: Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
              • Fast Factoring Integers by SVP Algorithms

                Paper 2021/232 Fast Factoring Integers by SVP Algorithms Claus Peter Schnorr Abstract To factor an integer $N$ we construct $n$ triples of $p_n$-smooth integers $u,v,|u-vN|$ for the $n$-th prime $p_n$. Denote such triple a fac-relation. We get fac-relations from a nearly shortest vector of the lattice $\mathcal{L}(\mathbf{R}_{n,f})$ with basis matrix $\mathbf{R}_{n,f} \in \mathbb{R}^{(n+1)\times (

                  Fast Factoring Integers by SVP Algorithms
                • Algorithms for Modern Hardware - Algorithmica

                  This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from $O(n \log n)$ to $

                  • Challenging algorithms and data structures every programmer should try

                    Challenging algorithms and data structures every programmer should try 12/21/2022 See the discussion of this post on Reddit and Hacker News. Alright, so we are all spending our leisure time reading about algorithms, right? Well, back when I was a student, my algorithms courses regularly put me to sleep. This is unfortunate because there are some really interesting algorithms and data structures ou

                      Challenging algorithms and data structures every programmer should try
                    • Faster sorting algorithms discovered using deep reinforcement learning - Nature

                      Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

                        Faster sorting algorithms discovered using deep reinforcement learning - Nature
                      • Discovering novel algorithms with AlphaTensor

                        Research Discovering novel algorithms with AlphaTensor Published 5 October 2022 Authors Alhussein Fawzi, Matej Balog, Bernardino Romera-Paredes, Demis Hassabis, Pushmeet Kohli First extension of AlphaZero to mathematics unlocks new possibilities for research Algorithms have helped mathematicians perform fundamental operations for thousands of years. The ancient Egyptians created an algorithm to mu

                          Discovering novel algorithms with AlphaTensor
                        • SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems

                          Deep Learning (DL) algorithms are the central focus of modern machine learning systems. As data volumes keep growing, it has become customary to train large neural networks with hundreds of millions of parameters to maintain enough capacity to memorize these volumes and obtain state-of-the-art accuracy. To get around the costly computations associated with large models and data, the community is i

                          • 12.6. B-Trees — CS3 Data Structures & Algorithms

                            12.6.1. B-Trees¶ This module presents the B-tree. B-trees are usually attributed to R. Bayer and E. McCreight who described the B-tree in a 1972 paper. By 1979, B-trees had replaced virtually all large-file access methods other than hashing. B-trees, or some variant of B-trees, are the standard file organization for applications requiring insertion, deletion, and key range searches. They are used

                            • New – Additional Checksum Algorithms for Amazon S3 | Amazon Web Services

                              AWS News Blog New – Additional Checksum Algorithms for Amazon S3 Amazon Simple Storage Service (Amazon S3) is designed to provide 99.999999999% (11 9s) of durability for your objects and for the metadata associated with your objects. You can rest assured that S3 stores exactly what you PUT, and returns exactly what is stored when you GET. In order to make sure that the object is transmitted back-a

                                New – Additional Checksum Algorithms for Amazon S3 | Amazon Web Services
                              • AlphaDev discovers faster sorting algorithms

                                Impact AlphaDev discovers faster sorting algorithms Published 7 June 2023 Authors Daniel J. Mankowitz and Andrea Michi New algorithms will transform the foundations of computing Digital society is driving increasing demand for computation, and energy use. For the last five decades, we relied on improvements in hardware to keep pace. But as microchips approach their physical limits, it’s critical t

                                  AlphaDev discovers faster sorting algorithms
                                • AlphaDev discovers faster sorting algorithms

                                  Impact AlphaDev discovers faster sorting algorithms Published 7 June 2023 Authors Daniel J. Mankowitz and Andrea Michi New algorithms will transform the foundations of computing Digital society is driving increasing demand for computation, and energy use. For the last five decades, we relied on improvements in hardware to keep pace. But as microchips approach their physical limits, it’s critical t

                                    AlphaDev discovers faster sorting algorithms
                                  • Discovering faster matrix multiplication algorithms with reinforcement learning - Nature

                                    Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

                                      Discovering faster matrix multiplication algorithms with reinforcement learning - Nature
                                    • Data Structures & Algorithms I Used Working at Tech Companies

                                      Do you actually use data structures and algorithms on your day to day job? I've noticed a growing trend of people assuming algorithms are pointless questions that are asked by tech companies purely as an arbitrary measure. I hear more people complain about how all of this is a purely academic exercise. This notion was definitely popularized after Max Howell, the author of Homebrew, posted his Goog

                                        Data Structures & Algorithms I Used Working at Tech Companies
                                      • Understanding Layout Algorithms

                                        Understanding Layout AlgorithmsThe mental model shift that makes CSS more intuitive A few years ago, I had a Eureka! moment with CSS. Up until that moment, I had been learning CSS by focusing on the properties and values we write, things like z-index: 10 or justify-content: center. I figured that if I understood broadly what each property did, I'd have a deep understanding of the language as a who

                                          Understanding Layout Algorithms
                                        • AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

                                          Machine learning research has advanced in multiple aspects, including model structures and learning methods. The effort to automate such research, known as AutoML, has also made significant progress. However, this progress has largely focused on the architecture of neural networks, where it has relied on sophisticated expert-designed layers as building blocks---or similarly restrictive search spac

                                          • How to recognize the compression algorithms with your eyes - ZenHAX

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                                            • GitHub - TheAlgorithms/Rust: All Algorithms implemented in Rust

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                                                GitHub - TheAlgorithms/Rust: All Algorithms implemented in Rust
                                              • GitHub - TheAlgorithms/C: Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

                                                Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

                                                  GitHub - TheAlgorithms/C: Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
                                                • GitHub - TheAlgorithms/JavaScript: Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.

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                                                    GitHub - TheAlgorithms/JavaScript: Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
                                                  • Computer Vision: Algorithms and Applications, 2nd ed.

                                                    Computer Vision: Algorithms and Applications, 2nd ed. © 2022 Richard Szeliski, The University of Washington Welcome to the website (https://szeliski.org/Book) for the second edition of my computer vision textbook, which is now available for purchase at Amazon, Springer, and other booksellers. To download an electronic version of the book, please fill in your information on this page. You are welco

                                                    • Announcing Swift Algorithms

                                                      I’m excited to announce Swift Algorithms, a new open-source package of sequence and collection algorithms, along with their related types. Algorithms are powerful tools for thought because they encapsulate difficult-to-read and error-prone raw loops. The Algorithms package includes a host of powerful, generic algorithms frequently found in other popular programming languages. We hope this new pack

                                                        Announcing Swift Algorithms
                                                      • recursion-algorithms

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                                                        • Parsing Algorithms

                                                          Dmitry Soshnikov Software engineer interested in learning and education. Sometimes blog on topics of programming languages theory, compilers, and ECMAScript. Course overview Parsing or syntactic analysis is one of the first stages in designing and implementing a compiler. A well-designed syntax of your programming language is a big motivation why users would prefer and choose exactly your language

                                                          • GitHub - st-tech/zr-obp: Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

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                                                              GitHub - st-tech/zr-obp: Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
                                                            • Commit Graph Drawing Algorithms

                                                              In gitamine, we will use an algorithm that draws only one commit by row to be able to show the commit graph and the commit history side-by-side as other git clients. Whether to draw straight or curved branches is a matter of taste. Personally, I found straight branches much more readable. Unfortunately, the only git clients that draw straight or almost straight branches, GitKraken and SourceTree,

                                                              • Formal Algorithms for Transformers

                                                                This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most prominent models. The reader is assumed to be familiar with basic ML terminology and simpler neural network architectures s

                                                                • Algorithms with Go

                                                                  Algorithms with Go is free, but you need to provide a working email address to gain access. I won't spam you and unsubscribing is very easy. "I understand how basic algorithms work, but I can't actually implement them in code" Don't worry, you aren't alone! Not everyone will admit it, but many developers feel exactly what you are feeling when they get started with coding, algorithms, and more. Whe

                                                                    Algorithms with Go
                                                                  • JumpLab: a testbed for studying jump motion and scrolling algorithms of videogames

                                                                    JumpLab: a testbed for studying jump motion and scrolling algorithms of videogames About Install Usage Jump settings Camera settings Character settings Joystick settings Introduction JumpLab is a software that allows you to experiment with variable parameters for jumping and camera movement in platform games (jump action games) such as Super Mario Bros. It is designed as an educational tool for le

                                                                      JumpLab: a testbed for studying jump motion and scrolling algorithms of videogames
                                                                    • uber/causalml: Uplift modeling and causal inference with machine learning algorithms

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                                                                        uber/causalml: Uplift modeling and causal inference with machine learning algorithms
                                                                      • Grouping Similar Articles with Search Engine More-Like-This Queries and Graph Algorithms

                                                                        Grouping Similar Articles with Search Engine More-Like-This Queries and Graph Algorithms Please refer here for a related post in Japanese. IntroductionIn Stockmark, we collect tens of thousands of news articles from thousands of different media sources every day. Articles with similar content may be crawled from different news media. It is vital to detect and group similar articles in order to pro

                                                                          Grouping Similar Articles with Search Engine More-Like-This Queries and Graph Algorithms
                                                                        • GitHub - TheAlgorithms/Java: All Algorithms implemented in Java

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                                                                            GitHub - TheAlgorithms/Java: All Algorithms implemented in Java
                                                                          • GitHub - lucidrains/lion-pytorch: 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

                                                                            Learning rate and weight decay: the authors write in Section 5 - Based on our experience, a suitable learning rate for Lion is typically 3-10x smaller than that for AdamW. Since the effective weight decay is lr * λ, the value of decoupled weight decay λ used for Lion is 3-10x larger than that for AdamW in order to maintain a similar strength. The initial value, peak value, and end value in the lea

                                                                              GitHub - lucidrains/lion-pytorch: 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
                                                                            • Courseraで"Algorithms, Part I"を修了した - valid,invalid

                                                                              アルゴリズムの学習の一環としてCourseraの "Algorithms, Part I" を完了した。 www.coursera.org 先日アルゴリズムに関する学習教材を探していた折、同講座に関する満足の声を見かけたのでやってみることにした。(英語のレビューは上記ページに載っている) Courseraで高評価な「Algorithms, Part I」を使った社内勉強会を開催しています - Hatena Developer Blog Coursera Algorithm Part I を受講し終えた - /var/log/kmb.log Coursera Algorithms PartⅠを受講しました | Futurismo 時間はかかったが全課題を及第点以上で完了できた!! "Algorithms, Part I" とは何か Princeton大学がCourseraで公開している、アル

                                                                                Courseraで"Algorithms, Part I"を修了した - valid,invalid
                                                                              • GitHub - sylefeb/Silice: Silice is an easy-to-learn, powerful hardware description language, that simplifies designing hardware algorithms with parallelism and pipelines.

                                                                                A language for hardcoding algorithms with pipelines and parallelism into FPGA hardware Quick links: To set up Silice, see the getting started guide. To see what can be done with Silice, check out the example projects (all are available in this repo). To start designing hardware, see learn Silice. Watch the introduction video on programming FPGAs with Silice (youtube). Watch the video on the IceV-d

                                                                                  GitHub - sylefeb/Silice: Silice is an easy-to-learn, powerful hardware description language, that simplifies designing hardware algorithms with parallelism and pipelines.
                                                                                • Data Structures & Algorithms – Google Tech Dev Guide

                                                                                  Learning goals Familiarize yourself with common data structures and algorithms such as lists, trees, maps, graphs, Big-O analysis, and more! Suggested prerequisites Familiarity with basics programming concepts (e.g. if statements, loops, functions)

                                                                                    Data Structures & Algorithms – Google Tech Dev Guide