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implementationに関するエントリは209件あります。 github機械学習資料 などが関連タグです。 人気エントリには 『GitHub Copilotは開発者の生産性をどれだけ上げるのか?ZOZOでの全社導入とその効果 / How Much Does GitHub Copilot Improve Developer Productivity? The Company-wide Implementation and Its Effects at ZOZO』などがあります。
  • GitHub Copilotは開発者の生産性をどれだけ上げるのか?ZOZOでの全社導入とその効果 / How Much Does GitHub Copilot Improve Developer Productivity? The Company-wide Implementation and Its Effects at ZOZO

    2024/2/16 Developers Summit 2024 登壇資料 https://event.shoeisha.jp/devsumi/20240215 ■ ZOZOエンジニア向け会社説明資料 https://speakerdeck.com/zozodevelopers/company-deck ■ GitHub Universe 2023 https://githubuniverse.com/ ■ Universe 2023: CopilotがGitHubをAIを駆使した開発者プラットフォームへと変貌させる https://github.blog/jp/2023-11-09-universe-2023-copilot-transforms-github-into-the-ai-powered-developer-platform/ ■ GitHub Universe 2023 o

      GitHub Copilotは開発者の生産性をどれだけ上げるのか?ZOZOでの全社導入とその効果 / How Much Does GitHub Copilot Improve Developer Productivity? The Company-wide Implementation and Its Effects at ZOZO
    • 機械学習を「社会実装」するということ 2023年版 / Social Implementation of Machine Learning 2023

      機械学習を「社会実装」する際に待ち受けている罠と、その解決方法の考察 (2023年版) です。今回は、機械学習プロジェクトに取り組む私たちに何ができるか?といった内容を盛り込みました。 ※この資料は、東京大学メタバース工学部リスキリング工学教育プログラム GCI 2022 Winterの講義で使用したものです。 https://gci.t.u-tokyo.ac.jp/gci-2022-winter/ ※過去に同テーマで講義した際に使用した資料はこちら。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-2022 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning

        機械学習を「社会実装」するということ 2023年版 / Social Implementation of Machine Learning 2023
      • awkでつくってわかるWebアプリケーション / Web Application Implementation in awk

        YAPC::Hiroshima 2024での、awkによるWebアプリケーションの実装方法について紹介した発表の資料です。 元となった実装は https://github.com/yammerjp/awkblog にあります。 デモアプリケーションは https://awkblog.net にあります。

          awkでつくってわかるWebアプリケーション / Web Application Implementation in awk
        • 機械学習を「社会実装」するということ / Social Implementation of Machine Learning

          機械学習を「社会実装」する際に待ち受けている罠と、その解決方法の考察です。 ※この資料は、東京大学グローバル消費インテリジェンス寄附講座(GCI)2020 Summerの講義で使用したものです。 https://gci.t.u-tokyo.ac.jp/gci-2020-summer/ ※2023年版を公開しました。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-2023 ※2022年版を公開しました。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-2022

            機械学習を「社会実装」するということ / Social Implementation of Machine Learning
          • GitHub - carbon-language/carbon-lang: Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

            Fast and works with C++ Performance matching C++ using LLVM, with low-level access to bits and addresses Interoperate with your existing C++ code, from inheritance to templates Fast and scalable builds that work with your existing C++ build systems Modern and evolving Solid language foundations that are easy to learn, especially if you have used C++ Easy, tool-based upgrades between Carbon version

              GitHub - carbon-language/carbon-lang: Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
            • 機械学習を「社会実装」するということ 2024年版 / Social Implementation of Machine Learning 2024

              機械学習を「社会実装」する際に待ち受けている罠と、その解決方法の考察 (2024年版) です。今回は、生成AI時代とも呼ばれる昨今において、我々は機械学習プロジェクトをどのように捉え、どのように向き合えばよいか?の羅針盤になる内容を盛り込みました。 ※この資料は、東京大学メタバース工学部リスキリング講座プログラム グローバル消費インテリジェンス寄付講座 (GCI) 2023 Winterの講義で使用したものです。 https://gci2.t.u-tokyo.ac.jp/archives/course/gci-2023-winter ※過去に同テーマで講義した際に使用した資料はこちら。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-july-2023-version https:/

                機械学習を「社会実装」するということ 2024年版 / Social Implementation of Machine Learning 2024
              • GitHub - wader/jqjq: jq implementation of jq

                123, .123, 1.23, 1.23e2, 1.23e+2, "abc", true, false, null Scalar literals Unicode codepoint escape "\ud83d\ude03" Handle surrogate pairs \ud800-\udfff, should translate to codepoint. Control code and quote escape "\"\n\r\t\f\b\\\/" "abc \(123)" String interpolation {key: "value"} Object literal {key} {"key"} {$key} {(f): f} {("a","b"): (1,2), c: 2} Multiple key/value outputs {"\("abc")": 123} Key

                  GitHub - wader/jqjq: jq implementation of jq
                • GitHub - djanderson/aho: A git implementation in awk

                  $ source ./modpath $ aho init Initialized empty Git repository in .aho $ aho add -v . add '.gitignore' add 'LICENSE' add 'README.md' add 'aho' add 'aho.awk' add 'include/add.awk' add 'include/branches.awk' add 'include/config.awk' [...] $ echo "neat" > testfile $ aho add -v . add 'testfile' $ tree .aho/ .aho/ ├── branches ├── config ├── description ├── HEAD ├── index ├── objects │   ├── 16 │   │  

                    GitHub - djanderson/aho: A git implementation in awk
                  • GitHub - google/OpenSK: OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.

                    OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards. License

                      GitHub - google/OpenSK: OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.
                    • GitHub - microsoft/STL: MSVC's implementation of the C++ Standard Library.

                      Microsoft's C++ Standard Library This is the official repository for Microsoft's implementation of the C++ Standard Library (also known as the STL), which ships as part of the MSVC toolset and the Visual Studio IDE. Our Changelog tracks which updates to this repository appear in each VS release. Our Status Chart displays our overall progress over time. Join our Discord server. What This Repo Is Us

                        GitHub - microsoft/STL: MSVC's implementation of the C++ Standard Library.
                      • GitHub - dropbox/fast_rsync: An optimized implementation of librsync in pure Rust.

                        This crate offers three major APIs: Signature::calculate, which takes a block of data and returns a "signature" of that data which is much smaller than the original data. diff, which takes a signature for some block A, and a block of data B, and returns a delta between block A and block B. If A and B are "similar", then the delta is usually much smaller than block B. apply, which takes a block A a

                          GitHub - dropbox/fast_rsync: An optimized implementation of librsync in pure Rust.
                        • GitHub - Plachtaa/VALL-E-X: An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

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                            GitHub - Plachtaa/VALL-E-X: An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
                          • GitHub - Byron/gitoxide: An idiomatic, lean, fast & safe pure Rust implementation of Git

                            gitoxide is an implementation of git written in Rust for developing future-proof applications which strive for correctness and performance while providing a pleasant and unsurprising developer experience. gitoxide provides the gix and ein binaries for use on the command-line to allow experimentation with key features like fetch and clone, and to validate the usability and control of the API offere

                              GitHub - Byron/gitoxide: An idiomatic, lean, fast & safe pure Rust implementation of Git
                            • Dokku - The smallest PaaS implementation you've ever seen

                              Latest release v0.34.4 An open source PAAS alternative to Heroku. Dokku helps you build and manage the lifecycle of applications from building to scaling. # download the installation script $ wget -NP . https://dokku.com/bootstrap.sh # run the installer $ sudo DOKKU_TAG=v0.34.4 bash bootstrap.sh # Configure your server domain $ dokku domains:set-global dokku.me # and your ssh key to the dokku user

                              • GitHub - ronami/HypeScript: 🐬 A simplified implementation of TypeScript's type system written in TypeScript's type system

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                                  GitHub - ronami/HypeScript: 🐬 A simplified implementation of TypeScript's type system written in TypeScript's type system
                                • GitHub - microsoft/ebpf-for-windows: eBPF implementation that runs on top of Windows

                                  The following diagram shows the basic architecture of this project and related components: As shown in the diagram, existing eBPF toolchains (clang, etc.) can be used to generate eBPF bytecode from source code in various languages. Bytecode can be consumed by any application, or via bpftool or the Netsh command line tool, which use a shared library that exposes Libbpf APIs, though this is still in

                                    GitHub - microsoft/ebpf-for-windows: eBPF implementation that runs on top of Windows
                                  • HTML-first, framework-agnostic implementation of shadcn/ui - franken/ui

                                    Coming Soon We're sorry, but this feature is not yet available. We are working hard to make it happen as soon as possible. Thank you for your patience and understanding. Please check back later for updates. Just a demo The element you clicked is for demonstration purposes only and does not lead to actual content. Everything you see here is a simulation intended to demonstrate how the UI elements m

                                    • GitHub - microsoft/msquic: Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.

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                                        GitHub - microsoft/msquic: Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.
                                      • GitHub - itchyny/gojq: Pure Go implementation of jq

                                        gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes build scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the q

                                          GitHub - itchyny/gojq: Pure Go implementation of jq
                                        • Writing a minimal Lua implementation with a virtual machine from scratch in Rust | notes.eatonphil.com

                                          Writing a minimal Lua implementation with a virtual machine from scratch in Rust By the end of this guide we'll have a minimal, working implementation of a small part of Lua from scratch. It will be able to run the following program (among others): function fib(n) if n < 2 then return n; end local n1 = fib(n-1); local n2 = fib(n-2); return n1 + n2; end print(fib(30)); This is my second project in

                                          • GitHub - seemoo-lab/opendrop: An open Apple AirDrop implementation written in Python

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                                              GitHub - seemoo-lab/opendrop: An open Apple AirDrop implementation written in Python
                                            • Goodbye to the C++ Implementation of Zig ⚡ Zig Programming Language

                                              Goodbye to the C++ Implementation of ZigHow we used WebAssembly to annihilate 80,000 lines of legacy codeAuthor: Andrew Kelley It’s funny - I have shared this story a handful of times with friends of mine who are qualified, competent software engineers, and each time the response was confusion about why any of this would be necessary or even remotely helpful. WebAssembly?! After ten minutes of puz

                                              • Kaggle_Days_Tokyo_-_Feature_Engineering_and_GBDT_Implementation.pdf

                                                Kaggle_Days_Tokyo_-_Feature_Engineering_and_GBDT_Implementation.pdf

                                                  Kaggle_Days_Tokyo_-_Feature_Engineering_and_GBDT_Implementation.pdf
                                                • GitHub - TachibanaYoshino/AnimeGAN: A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos

                                                  Photos Videos Added the AnimeGAN Colab. AnimeGANv3 has been released. AnimeGANv2, the improved version of AnimeGAN. Online access: Be grateful to @TonyLianLong for developing an online access project, you can implement photo animation through a browser without installing anything, click here to have a try. Pytorch version: pytorch-animeGAN. Be grateful to @ptran1203. Some suggestions: since the re

                                                    GitHub - TachibanaYoshino/AnimeGAN: A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos
                                                  • 機械学習を「社会実装」するということ 2022年版 / Social Implementation of Machine Learning 2022

                                                    機械学習を「社会実装」する際に待ち受けている罠と、その解決方法の考察 (2022年版) です。 ※この資料は、東京大学グローバル消費インテリジェンス寄付講座(GCI)2021 Winterの講義で使用したものです。 https://gci.t.u-tokyo.ac.jp/gci-2021-winter/ ※2023年版を公開しました。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-2023 ※2020年7月に同テーマで講義した際に使用した資料はこちら。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning

                                                      機械学習を「社会実装」するということ 2022年版 / Social Implementation of Machine Learning 2022
                                                    • GitHub - kyegomez/BitNet: Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

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                                                        GitHub - kyegomez/BitNet: Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
                                                      • Introduction to Design and Implementation of Metaheuristics

                                                        実務に現れる組合せ最適化問題には,汎用の数理最適化ソルバーで対応できない問題が少なくありません.このような問題に対しては,貪欲法や局所探索法を基本戦略にさまざまなアイデアを組み合わせたメタヒューリスティクスの開発がひとつの有効な手段となります.しかし,メタヒューリスティクスの設計や実装を詳細に解説している書籍は少なく,そのノウハウを習得することは容易ではありません.本スライドでは,巡回セールスマン問題と一般化割当問題を通じてメタヒューリスティクスの設計と実装を解説します.

                                                          Introduction to Design and Implementation of Metaheuristics
                                                        • GitHub - capricorn86/happy-dom: A JavaScript implementation of a web browser without its graphical user interface

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                                                            GitHub - capricorn86/happy-dom: A JavaScript implementation of a web browser without its graphical user interface
                                                          • GitHub - piscinajs/piscina: A fast, efficient Node.js Worker Thread Pool implementation

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                                                              GitHub - piscinajs/piscina: A fast, efficient Node.js Worker Thread Pool implementation
                                                            • GitHub - lucidrains/DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

                                                              Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. Yannic Kilcher summary | AssemblyAI explainer The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository wi

                                                                GitHub - lucidrains/DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
                                                              • GitHub - GetFirefly/firefly: An alternative BEAM implementation, designed for WebAssembly

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                                                                  GitHub - GetFirefly/firefly: An alternative BEAM implementation, designed for WebAssembly
                                                                • GitHub - xetdata/nfsserve: A Rust NFS Server implementation

                                                                  This is an incomplete but very functional implementation of an NFSv3 server in Rust. Why? You may ask. I wanted to implement a user-mode file-system mount that is truly cross-platform. What is a protocol that pretty much every OS supports? NFS. Why not FUSE you may ask: FUSE is annoying to users on Mac and Windows (drivers necessary). It takes a lot of care to build a FUSE driver for remote filesy

                                                                    GitHub - xetdata/nfsserve: A Rust NFS Server implementation
                                                                  • GitHub - ethereum/lahja: Lahja is a generic multi process event bus implementation written in Python 3.6+ to enable lightweight inter-process communication, based on non-blocking asyncio

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                                                                      GitHub - ethereum/lahja: Lahja is a generic multi process event bus implementation written in Python 3.6+ to enable lightweight inter-process communication, based on non-blocking asyncio
                                                                    • Blog - Reference implementation moving to app.diagrams.net

                                                                      The reference implementation of the draw.io project will be hosted at app.diagrams.net. Everything else remains the same - the online editor has all the functionality of the draw.io core editor. .io domains There are two major problems with .io domains: The first is that the islands which should own the domain suffix, don’t, thanks to a wonderful piece of modern day British Imperialism. If you eve

                                                                      • GitHub - brython-dev/brython: Brython (Browser Python) is an implementation of Python 3 running in the browser

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                                                                          GitHub - brython-dev/brython: Brython (Browser Python) is an implementation of Python 3 running in the browser
                                                                        • 機械学習を「社会実装」するということ 2023年7月版 / Social Implementation of Machine Learning July 2023 Version

                                                                          機械学習を「社会実装」する際に待ち受けている罠と、その解決方法の考察 (2023年7月版) です。今回は、LLM等の生成AIの進化が加速し実用化フェーズを迎えた激動の時代において、機械学習プロジェクトに取り組む私たちに何ができるか?といった内容を盛り込みました。 ※この資料は、東京大学メタバース工学部リスキリング講座プログラム グローバル消費インテリジェンス寄付講座 (GCI) 2023 Summerの講義で使用したものです。 https://gci2.t.u-tokyo.ac.jp/archives/course/gci-2023-summer ※過去に同テーマで講義した際に使用した資料はこちら。 https://speakerdeck.com/moepy_stats/social-implementation-of-machine-learning-2023 https://speak

                                                                            機械学習を「社会実装」するということ 2023年7月版 / Social Implementation of Machine Learning July 2023 Version
                                                                          • GitHub - lmt-swallow/puppy-browser: An example implementation of a tiny Web browser for educational purposes.

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                                                                              GitHub - lmt-swallow/puppy-browser: An example implementation of a tiny Web browser for educational purposes.
                                                                            • GitHub - EleutherAI/gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

                                                                              *As of August, 2021 code is no longer maintained. It is preserved here in archival form for people who wish to continue to use it. 🎉 1T or bust my dudes 🎉 An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. If you're just here to play with our pre-trained models, we strongly recommend you try out the HuggingFace Transformer integration. Training and inf

                                                                                GitHub - EleutherAI/gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
                                                                              • GitHub - clovaai/donut: Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

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                                                                                  GitHub - clovaai/donut: Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
                                                                                • GitHub - pandax381/microps: An implementation of a small TCP/IP protocol stack for learning.

                                                                                  Abstraction Layer Physical device abstraction Define structure for physical device abstraction (struct net_device) Support multiple link protocols and physical devices Logical interface abstraction Define structure for logical interface abstraction (struct net_iface) Support multiple address family and logical interfaces Devices Null Loopback Ethernet TUN/TAP (Linux) PF_PACKET (Linux) Protocols Et

                                                                                    GitHub - pandax381/microps: An implementation of a small TCP/IP protocol stack for learning.

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