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  • 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

    • Implementation status of QUIC in Haskell - あどけない話

      After implementing HTTP/2 in Haskell and TLS 1.3 in Haskell, I have been working for IETF QUIC. This article explains what I have done in 2019 fiscal year of Japan to report our sponsor, Internet Initiative Japan (IIJ). I have both titles of IIJ and IIJ-II. I'm wearing an IIJ-II hat in this article. If you wonder why I'm using Haskell to implement network protocols, please give a look at my positi

        Implementation status of QUIC in Haskell - あどけない話
      • Security Technical Implementation Guides (STIGs)に準拠したWindows Serverを追加費用無しで利用できるようになりました | DevelopersIO

        Security Technical Implementation Guides (STIGs)に準拠したWindows Serverを追加費用無しで利用できるようになりました 中山(順)です 先日、Security Technical Implementation Guides (STIGs)に準拠したWindows AMIが追加費用なしで利用でいるようになりました。 Introducing new Amazon EC2 Windows Server AMIs for DISA STIG compliance Security Technical Implementation Guides (STIGs)とは STIGsは、アメリカ国防総省(DOD)のセキュリティ要件に準拠するためにDefense Information Systems Agency (DISA) = アメリカ国防情報シ

          Security Technical Implementation Guides (STIGs)に準拠したWindows Serverを追加費用無しで利用できるようになりました | DevelopersIO
        • GitHub - Cosmo/OpenSwiftUI: WIP — OpenSwiftUI is an OpenSource implementation of Apple's SwiftUI DSL.

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            GitHub - Cosmo/OpenSwiftUI: WIP — OpenSwiftUI is an OpenSource implementation of Apple's SwiftUI DSL.
          • GitHub - NVlabs/stylegan2-ada: StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

            Training Generative Adversarial Networks with Limited Data Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila https://arxiv.org/abs/2006.06676 Abstract: Training generative adversarial networks (GAN) using too little data typically leads to discriminator overfitting, causing training to diverge. We propose an adaptive discriminator augmentation mechanism that sign

              GitHub - NVlabs/stylegan2-ada: StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
            • GitHub - jaymody/picoGPT: An unnecessarily tiny implementation of GPT-2 in NumPy.

              Accompanying blog post: GPT in 60 Lines of Numpy You've seen openai/gpt-2. You've seen karpathy/minGPT. You've even seen karpathy/nanoGPT! But have you seen picoGPT??!? picoGPT is an unnecessarily tiny and minimal implementation of GPT-2 in plain NumPy. The entire forward pass code is 40 lines of code. picoGPT features: Fast? ❌ Nah, picoGPT is megaSLOW 🐌 Training code? ❌ Error, 4️⃣0️⃣4️⃣ not foun

                GitHub - jaymody/picoGPT: An unnecessarily tiny implementation of GPT-2 in NumPy.
              • GitHub - octanove/shiba: Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.

                SHIBA is an approximate reimplementation of CANINE[1] in raw Pytorch, pretrained on the Japanese wikipedia corpus using random span masking. If you are unfamiliar with CANINE, you can think of it as a very efficient (approximately 4x as efficient) character-level BERT model. Of course, the name SHIBA comes from the identically named Japanese canine. 日本語版のREADMEはここから閲覧できます。 また、質問がある方は日本語でもお気軽にどうぞ。i

                  GitHub - octanove/shiba: Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.
                • GitHub - oxfeeefeee/goscript: An alternative implementation of Golang specs, written in Rust for embedding or wrapping.

                  Is this a new language? No, this is Go by definition. You can think of it as a hybrid of Go and Python, it takes the design of Go and implements it the way Python does. So, I think it's also fair to call it a scripting language. Why not a new language? It's much easier to implement a language than to design one, I don't think I'm able to design a language that people would invest their time to lea

                    GitHub - oxfeeefeee/goscript: An alternative implementation of Golang specs, written in Rust for embedding or wrapping.
                  • 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
                    • GitHub - OpenDiablo2/OpenDiablo2: An open source re-implementation of Diablo 2

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                        GitHub - OpenDiablo2/OpenDiablo2: An open source re-implementation of Diablo 2
                      • 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”
                        • RSA - theory and implementation - Eli Bendersky's website

                          RSA has been a staple of public key cryptography for over 40 years, and is still being used today for some tasks in the newest TLS 1.3 standard. This post describes the theory behind RSA - the math that makes it work, as well as some practical considerations; it also presents a complete implementation of RSA key generation, encryption and decryption in Go. The RSA algorithm The beauty of the RSA a

                          • GitHub - github/mini-throttle: A small JavaScript throttle & debounce implementation.

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                              GitHub - github/mini-throttle: A small JavaScript throttle & debounce implementation.
                            • GitHub - isaacs/minipass: A stream implementation that does more by doing less

                              A very minimal implementation of a PassThrough stream It's very fast for objects, strings, and buffers. Supports pipe()ing (including multi-pipe() and backpressure transmission), buffering data until either a data event handler or pipe() is added (so you don't lose the first chunk), and most other cases where PassThrough is a good idea. There is a read() method, but it's much more efficient to con

                                GitHub - isaacs/minipass: A stream implementation that does more by doing less
                              • GitHub - Lightning-AI/lit-llama: Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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                                  GitHub - Lightning-AI/lit-llama: Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
                                • Implementation Guide For Events In Google Analytics 4

                                    Implementation Guide For Events In Google Analytics 4
                                  • cOAlition S Releases Revised Implementation Guidance on Plan S Following Public Feedback Exercise | Plan S

                                    cOAlition S Releases Revised Implementation Guidance on Plan S Following Public Feedback Exercise Today cOAlition S releases revised guidance on Plan S implementation which has been approved by all coalition members. “Plan S is a bold step forward which the European Commission, along with a growing number of national funders, is committed to implement” explained Carlos Moedas, the European Commiss

                                      cOAlition S Releases Revised Implementation Guidance on Plan S Following Public Feedback Exercise | Plan S
                                    • GitHub - github/stack-graphs: Rust implementation of stack graphs

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                                        GitHub - github/stack-graphs: Rust implementation of stack graphs
                                      • GitHub - dbanay/Smalltalk: By the Bluebook implementation of Smalltalk-80

                                        Welcome to my "by the Bluebook" C++ implementation of the Smalltalk-80 system that runs on OS X, Windows, Linux, OpenBSD, and FreeBSD! Since first reading about Smalltalk in the August 1981 issue of Byte magazine, I have always been intrigued by it. At that time all we had were slow 8-bit computers with 4K of RAM barely running fast enough to do anything useful. I was stunned as I read through the

                                          GitHub - dbanay/Smalltalk: By the Bluebook implementation of Smalltalk-80
                                        • GitHub - utkuozbulak/pytorch-cnn-visualizations: Pytorch implementation of convolutional neural network visualization techniques

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                                            GitHub - utkuozbulak/pytorch-cnn-visualizations: Pytorch implementation of convolutional neural network visualization techniques
                                          • GitHub - sekigon-gonnoc/Pico-PIO-USB: USB host/device implementation using PIO of raspberry pi pico (RP2040).

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                                              GitHub - sekigon-gonnoc/Pico-PIO-USB: USB host/device implementation using PIO of raspberry pi pico (RP2040).
                                            • GitHub - microsoft/vscode-wasm: A WASI implementation that uses VS Code's extension host as the implementing API

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                                                GitHub - microsoft/vscode-wasm: A WASI implementation that uses VS Code's extension host as the implementing API
                                              • GitHub - NouamaneTazi/bloomz.cpp: C++ implementation for BLOOM

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                                                  GitHub - NouamaneTazi/bloomz.cpp: C++ implementation for BLOOM
                                                • GitHub - NovelAI/novelai-aspect-ratio-bucketing: Implementation of aspect ratio bucketing for training generative image models as described in: https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac

                                                  One common issue of existing image generation models is that they are very prone to producing images with unnatural crops. This is due to the fact that these models are trained to produce square images. However, most photos and artworks are not square. However, the model can only work on images of the same size at the same time, and during training, it is common practice to operate on multiple tra

                                                    GitHub - NovelAI/novelai-aspect-ratio-bucketing: Implementation of aspect ratio bucketing for training generative image models as described in: https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac
                                                  • GitHub - lastmjs/wasm-metal: A bare metal physical implementation of WebAssembly. That's right, a WebAssembly CPU.

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                                                      GitHub - lastmjs/wasm-metal: A bare metal physical implementation of WebAssembly. That's right, a WebAssembly CPU.
                                                    • 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 - jimmywarting/native-file-system-adapter: File system, based on the spec reference implementation

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                                                          GitHub - jimmywarting/native-file-system-adapter: File system, based on the spec reference 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
                                                          • GitHub - facebookresearch/mae: PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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                                                              GitHub - facebookresearch/mae: PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
                                                            • GitHub - tamarott/SinGAN: Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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                                                                GitHub - tamarott/SinGAN: Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
                                                              • 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 - Inochi2D/inochi2d: Inochi2D reference implementation aimed at rendering 2D puppets that can be animated in real-time (using eg. facial capture).

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                                                                      GitHub - Inochi2D/inochi2d: Inochi2D reference implementation aimed at rendering 2D puppets that can be animated in real-time (using eg. facial capture).
                                                                    • 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 - XavierXiao/Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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                                                                          GitHub - XavierXiao/Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
                                                                        • Simple Implementation of OpenAI CLIP model: A Tutorial

                                                                          IntroductionIt was in January of 2021 that OpenAI announced two new models: DALL-E and CLIP, both multi-modality models connecting texts and images in some way. In this article we are going to implement CLIP model from scratch in PyTorch. OpenAI has open-sourced some of the code relating to CLIP model but I found it intimidating and it was far from something short and simple. I also came across a

                                                                            Simple Implementation of OpenAI CLIP model: A Tutorial
                                                                          • GitHub - dreamquark-ai/tabnet: PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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                                                                              GitHub - dreamquark-ai/tabnet: PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
                                                                            • GitHub - zprodev/zlib.es: ECMAScript compliant lightweight zlib implementation

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                                                                                GitHub - zprodev/zlib.es: ECMAScript compliant lightweight zlib implementation
                                                                              • GitHub - GuyTevet/motion-diffusion-model: The official PyTorch implementation of the paper "Human Motion Diffusion Model"

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                                                                                  GitHub - GuyTevet/motion-diffusion-model: The official PyTorch implementation of the paper "Human Motion Diffusion Model"
                                                                                • GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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                                                                                    GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch