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  • 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
    • 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 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 - 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
          • 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 - 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 - 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
                  • 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 - joshmarinacci/node-pureimage: Pure JS implementation of the HTML Canvas 2D drawing API

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                        GitHub - joshmarinacci/node-pureimage: Pure JS implementation of the HTML Canvas 2D drawing API
                      • GitHub - osteele/gojekyll: A fast Go implementation of the Jekyll blogging engine

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                          GitHub - osteele/gojekyll: A fast Go implementation of the Jekyll blogging engine
                        • GitHub - frodo821/BitNet-Transformers: 0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture

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                            GitHub - frodo821/BitNet-Transformers: 0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
                          • GitHub - AnnulusGames/BurstLinq: Extremely fast LINQ aggregation operations implementation optimized by Burst Compiler

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                              GitHub - AnnulusGames/BurstLinq: Extremely fast LINQ aggregation operations implementation optimized by Burst Compiler
                            • GitHub - naklecha/llama3-from-scratch: llama3 implementation one matrix multiplication at a time

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                                GitHub - naklecha/llama3-from-scratch: llama3 implementation one matrix multiplication at a time
                              • GitHub - apernet/OpenGFW: OpenGFW is a flexible, easy-to-use, open source implementation of GFW (Great Firewall of China) on Linux

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                                  GitHub - apernet/OpenGFW: OpenGFW is a flexible, easy-to-use, open source implementation of GFW (Great Firewall of China) on Linux
                                • The First Stable Release of a Memory Safe sudo Implementation

                                  The First Stable Release of a Memory Safe sudo Implementation Prossimo is pleased to announce the first stable release of sudo-rs, our Rust rewrite of the critical sudo utility. The sudo utility is one of the most common ways for engineers to cross the privacy boundary between user and administrative accounts in the ubiquitous Linux operating system. As such, its security is of the utmost importan

                                    The First Stable Release of a Memory Safe sudo Implementation
                                  • Jagger - C++ implementation of Pattern-based Japanese Morphological Analyzer

                                    Jagger - C++ implementation of Pattern-based Japanese Morphological Analyzer About Jagger is a fast, accurate, and space-efficient morphological analyzer [1] inspired by the dictionary-based longest matching for tokenization and the precomputation of machine-learning classifiers. Jagger applies patterns, which are extracted from morphological dictionaries and training data, to input from the begin

                                    • 実践PubSubマイクロサービス / Implementation Pub Sub microservice

                                      イベント駆動なPUB/SUBのマイクロサービスについてお話しています。 具体的なコードを追いながらマイクロサービスを連携させているかの開設がメインです。 こちらのは JJUG CCC 2023 Fall の講演用資料です。 ライブコードリーディング前提の資料です。そのため、ライブコードリーディングがないと理解が難しいかもしれません。 YouTube: https://www.youtube.com/watch?v=gejnwpvsWJE Code: https://github.com/nrslib/pubsubdoc # URL YouTube: https://www.youtube.com/c/narusemi HomePage: https://nrslib.com Twitter: https://twitter.com/nrslib

                                        実践PubSubマイクロサービス / Implementation Pub Sub microservice
                                      • GitHub - Beomi/BitNet-Transformers: 0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture

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                                          GitHub - Beomi/BitNet-Transformers: 0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
                                        • GitHub - shroominic/codeinterpreter-api: 👾 Open source implementation of the ChatGPT Code Interpreter

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                                            GitHub - shroominic/codeinterpreter-api: 👾 Open source implementation of the ChatGPT Code Interpreter
                                          • GitHub - graphdeco-inria/gaussian-splatting: Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

                                            Bernhard Kerbl*, Georgios Kopanas*, Thomas Leimkühler, George Drettakis (* indicates equal contribution) | Webpage | Full Paper | Video | Other GRAPHDECO Publications | FUNGRAPH project page | | T&T+DB COLMAP (650MB) | Pre-trained Models (14 GB) | Viewers for Windows (60MB) | Evaluation Images (7 GB) | This repository contains the official authors implementation associated with the paper "3D Gauss

                                              GitHub - graphdeco-inria/gaussian-splatting: Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
                                            • GitHub - migueletto/PumpkinOS: PumpkinOS is a re-implementation of PalmOS.

                                              PumpkinOS is a re-implementation of PalmOS that runs on modern architectures (x86, ARM, etc). It is not your average PalmOS emulator (it does NOT require a PalmOS ROM), but it can run m68K PalmOS applications. For a series of articles describing various aspects of PumpkinOS, look here: https://pmig96.wordpress.com/category/palmos/. Launcher is the first application that runs when PumpkinOS starts.

                                                GitHub - migueletto/PumpkinOS: PumpkinOS is a re-implementation of PalmOS.
                                              • GitHub - guoyww/AnimateDiff: Official implementation of AnimateDiff.

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                                                  GitHub - guoyww/AnimateDiff: Official implementation of AnimateDiff.
                                                • GitHub - facebookresearch/nougat: Implementation of Nougat Neural Optical Understanding for Academic Documents

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                                                    GitHub - facebookresearch/nougat: Implementation of Nougat Neural Optical Understanding for Academic Documents
                                                  • GitHub - raygard/wak: wak -- an awk implementation for toybox and standalone

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                                                      GitHub - raygard/wak: wak -- an awk implementation for toybox and standalone
                                                    • An awk implementation

                                                      An awk implementation Rob Landley’s toybox project provides a variety of Linux command-line tools, similar to busybox. I have written a compact but fairly complete awk implementation intended to integrate with toybox, but it can also build standalone. This implementation is named wak, because all the good awk names are taken. But when used in toybox, it’s just awk, or toybox awk. wak is coded in C

                                                      • AI時代を乗り切る実装力をつけよう / Get avility of implementation beyond AI era

                                                        2024/2/15-16に開催されたDeveloper Summit 2024での登壇資料です。 https://event.shoeisha.jp/devsumi/20240215/session/4778

                                                          AI時代を乗り切る実装力をつけよう / Get avility of implementation beyond AI era
                                                        • Exploring the Implementation of “t.Run”, “t.Parallel”, and “t.Cleanup”

                                                          Exploring the Implementation of “t.Run”, “t.Parallel”, and “t.Cleanup”

                                                            Exploring the Implementation of “t.Run”, “t.Parallel”, and “t.Cleanup”
                                                          • DevOps: Key factors for a Successful Implementation

                                                            DevOps is a software development methodology that brings together teams for software development and operatives in information technology together. Hence, the name DevOps combines software development (Dev) and operations (Ops). This concept creates a culture that fosters continuous collaboration between these teams that conventionally walk in their separate silos. They collaborate from the phase

                                                              DevOps: Key factors for a Successful Implementation
                                                            • GitHub - Ahmednull/L2CS-Net: The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

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                                                                GitHub - Ahmednull/L2CS-Net: The official PyTorch implementation of L2CS-Net for gaze estimation and tracking
                                                              • JS Decorators Explained: 10 Years Journey to the Real Implementation | Binary Studio

                                                                In 2015, ECMAScript 6 was introduced – a significant release of the JavaScript language. This release introduced many new features, such as const/let, arrow functions, classes, etc. Most of these features were aimed at eliminating JavaScript's quirks. For this reason, all these features were labeled as "Harmony." Some sources say that the entire ECMAScript 6 is called "ECMAScript Harmony." In addi

                                                                  JS Decorators Explained: 10 Years Journey to the Real Implementation | Binary Studio
                                                                • A Socket API that works across JavaScript runtimes — announcing a WinterCG spec and Node.js implementation of connect()

                                                                  A Socket API that works across JavaScript runtimes — announcing a WinterCG spec and Node.js implementation of connect()09/28/2023 Earlier this year, we announced a new API for creating outbound TCP sockets — connect(). From day one, we’ve been working with the Web-interoperable Runtimes Community Group (WinterCG) community to chart a course toward making this API a standard, available across all r

                                                                    A Socket API that works across JavaScript runtimes — announcing a WinterCG spec and Node.js implementation of connect()
                                                                  • GitHub - eugene-khyst/postgresql-event-sourcing: A reference implementation of an event-sourced system that uses PostgreSQL as an event store built with Spring Boot. Fork the repository and use it as a template for your projects. Or clone the repository a

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                                                                      GitHub - eugene-khyst/postgresql-event-sourcing: A reference implementation of an event-sourced system that uses PostgreSQL as an event store built with Spring Boot. Fork the repository and use it as a template for your projects. Or clone the repository a
                                                                    • GitHub - Blealtan/efficient-kan: An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

                                                                      This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The performance issue of the original implementation is mostly because it needs to expand all intermediate variables to perform the different activation functions. For a layer with in_features input and out_features output, the original implementation needs

                                                                        GitHub - Blealtan/efficient-kan: An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
                                                                      • GitHub - google/gemma_pytorch: The official PyTorch implementation of Google's Gemma models

                                                                        Gemma is a family of lightweight, state-of-the art open models built from research and technology used to create Google Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. For more details, please check out the following links: Gemma on Google AI Gemma on Kaggle Gemma on Vertex AI M

                                                                          GitHub - google/gemma_pytorch: The official PyTorch implementation of Google's Gemma models
                                                                        • AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source - Phoronix

                                                                          AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source Written by Michael Larabel in Display Drivers on 12 February 2024 at 09:00 AM EST. Page 1 of 4. 153 Comments. While there have been efforts by AMD over the years to make it easier to port codebases targeting NVIDIA's CUDA API to run atop HIP/ROCm, it still requires work on the part of developers. The tooling has i

                                                                            AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source - Phoronix
                                                                          • GitHub - swapneel/hnsw-rust: HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf

                                                                            hnsw-rust is a Rust implementation of The Hierarchical Navigable Small World (HNSW) algorithm. HNSW is a notable advancement in Approximate Nearest Neighbor (ANN) search in high-dimensional spaces, fundamentally altering our approach to these problems. The algorithm constructs a layered graph structure, where higher layers (less dense) are used for rapid global navigation, while lower layers (more

                                                                              GitHub - swapneel/hnsw-rust: HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf
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