Meshy | 3D AI Generator
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Observable Framework
The best dashboards are built with code. Create fast, beautiful data apps, dashboards, and reports from the command line. Write Markdown, JavaScript, SQL, Python, R… and any language you like. Free and open-source. Observable Framework is an open-source static site generator for data apps, dashboards, reports, and more. Framework includes a preview server for local development, and a command-line
Build optimized websites quickly, focus on your content | Docusaurus
Build optimized websites quickly, focus on your content Powered by MDXSave time and focus on text documents. Simply write docs and blog posts with MDX, and Docusaurus builds them into static HTML files ready to be served. You can even embed React components in your Markdown thanks to MDX. Built Using ReactExtend and customize your project's layout by writing React components. Leverage the pluggabl
Astro
One frontend architecture with endless possibilities Step into the future with Islands — Astro's next-gen frontend architecture. Supercharge your development with automatic JS-to-HTML streaming and a beloved developer experience. Content-first websites Fetch data from your CMS or work locally with type-safe Markdown and MDX APIs. Astro automatically removes unused JavaScript and renders to HTML fo
xoshiro/xoroshiro generators and the PRNG shootout
Introduction This page describes some new pseudorandom number generators (PRNGs) we (David Blackman and I) have been working on recently, and a shootout comparing them with other generators. Details about the generators can be found in our paper. Information about my previous xorshift-based generators can be found here, but they have been entirely superseded by the new ones, which are faster and b
StyleGAN「写真が証拠になる時代は終わった。」 - Qiita
・各convolution層後にstyleの調整を行う ・細部の特徴（髪質やそばかす）はノイズによって生成される ・潜在変数$z$を中間潜在変数$w$にマッピングする ・これまでのGANのようにGeneratorの入力層に潜在変数$z$を入れることはしない Style-based generator A：$w$をstyle($y_s,y_b$)に変えるためのアフィン変換 $y_s,y_b$はチャンネルごとに値をもつ B：ノイズは1チャンネル画像から成る convの出力に足し合わせる前に、ノイズをチャンネルごとにスケーリングすることを意味する 構成 Style-based generatorではこれまでのような入力層は使わず、全結合層を連ねたMapping network fから始まる Mapping network fは8層で構成されSynthesis network gは18層で構成され
GitHub - mxgmn/WaveFunctionCollapse: Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
WaveFunctionCollapse This program generates bitmaps that are locally similar to the input bitmap. Local similarity means that (C1) The output should contain only those NxN patterns of pixels that are present in the input. (Weak C2) Distribution of NxN patterns in the input should be similar to the distribution of NxN patterns over a sufficiently large number of outputs. In other words, probability
Medieval Fantasy City Generator by watabou
🃏This generator is a part of Procgen Arcana. This application generates a random medieval city layout of a requested size. The generation method is rather arbitrary, the goal is to produce a nice looking map, not an accurate model of a city. Right click to open the context menu with all the options. Press Enter to generate a new map; more shortcuts here. 👉For development news and related stuff p
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DomoAI | AI-Powered Art Generator
UV Checker Map Maker | VINZI
*p5.brush - Brush that canvas!
Generative Art on the Blockchain
GitHub - gglouser/cut-and-project-tiling: Cut-and-project tiling generator.
https://github.dev/github/dev
GAN 2.0: NVIDIA’s Hyperrealistic Face Generator
GitHub - LeGoffLoic/Nodz: Nodz : Visualize your data - Free nodes based graph generator.
GitHub - CedricGuillemet/Imogen: GPU Texture Generator
GitHub - microsoft/USBuildingFootprints: Computer generated building footprints for the United States
Rock Generator 1.5 Houdini Asset on Vimeo
Believability in Procedural Modelling: Layering of Simple Rules | Anastasia Opara | Houdini HIVE at SIGGRAPH 2017 on Vimeo
