Search Results for "docker-compose"

Haze is a modern UI library designed for Jetpack Compose and Compose Multiplatform that enables advanced background blurring effects commonly associated with glassmorphism design. It provides a high-level abstraction for creating dynamic blur effects that apply to content behind UI elements rather than just the elements themselves, solving a limitation of standard blur modifiers. The library is built on top of Compose’s graphics layer APIs, allowing it to operate consistently across multiple platforms while maintaining performance. ...

...You host it yourself, wherever you want (Netlify, Github Pages...), you're in control. Previously the recommended way to install Photo Stream was to fork the repository. In my opinion, this was not really optimal and being a fan of Docker I began working on optimizations to run Photo Stream in a container. That's why configuration has been moved from _config.yml to .env so when switching from the initial repo you will have to set up the .env file accordingly.

This is a starter template for a Docsy Jekyll theme, based on the Beautiful Docsy that renders with Hugo. This version is intended for native deployment on GitHub pages. The original Apache License is included.

Sleek dialogs and bottom sheets for quick use in your app. Choose one of the available sheets or build custom sheets on top of the existing functionality.

White Paper is a theme for Jekyll. It is made to keep content in focus and is best for writers/developers who also like to share code with their essays. jekyll-compose gem is now installed with jekyll so now creating a new post is easy. This theme uses grunt to concat & minify the css for best performance. In order to prepare the CSS build. Run grunt It will create a main.min.css file in the css folder.

The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. The stack.yaml file describes a NixOS environment containing the necessary dependencies.

A simple editor for markdown/txt files. Supports saving changes into git repositories hosted anywhere (git add, git commit). Docker images and built binaries are provided. Written by @TitPetric and licensed under the permissive WTFPL. As you write or scroll either the text area or the preview pane, the scroll positions are synchronized based on percentage. In the case of images in the text, accuracy can be quite off, but it's possible to improve this behavior in the future.