Posts
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cyclops
An advanced, but easy to use, platform for writing functional applications in Java 8.
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The latest version is cyclops:10.4.0
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Stackoverflow tag cyclops-react
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Documentation (work in progress for Cyclops X)
Tags: #java • functional-programming • reactive-streams
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parallel
Parallel processing for PHP based on Amp.
This package can be installed as a Composer dependency.
composer require amphp/parallelTags: #php • concurrency • multiprocessing
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element-desktop
A glossy Matrix collaboration client for desktop.
TODO: List native pre-requisites
Optionally, build the native modules, which include support for searching in encrypted rooms and secure storage. Skipping this step is fine, you just won’t have those features.
Then, run
yarn run buildThis will do a couple of things:
- Run the
setversionscript to set the local package version to match whatever version of Element you installed above. - Run electron-builder to build a package. The package built will match the operating system you’re running the build process on.
Tags: #typescript • element • element-web
- Run the
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laravel-crm
Free & Opensource Laravel CRM solution for SMEs and Enterprises for complete customer lifecycle management.
- Introduction
- Documentation
- Requirements
- Installation & Configuration
- License
- Security Vulnerabilities
Tags: #php • laravel • laravel-package
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gauntlt
a ruggedization framework that embodies the principle “be mean to your code”
Gauntlt is a ruggedization framework that enables security testing that is usable by devs, ops and security.
Tags: #ruby
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yii2-docker
Official Docker images suitable for Yii 2.0
These Docker images are built on top of the official PHP Docker image, they contain additional PHP extensions required to run Yii 2.0 framework, but no code of the framework itself. The
Dockerfile(s) of this repository are designed to build from different PHP-versions by using build arguments.Tags: #php • yii • docker-image
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promise-polyfill
Lightweight ES6 Promise polyfill for the browser and node. A+ Compliant
Lightweight ES6 Promise polyfill for the browser and node. Adheres closely to the spec. It is a perfect polyfill IE or any other browser that does not support native promises.
For API information about Promises, please check out this article HTML5Rocks article.
It is extremely lightweight. < 1kb Gzipped
Tags: #javascript
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beanstalk-deploy
GitHub action (and command line script) to deploy apps to Elastic Beanstalk
Beanstalk Deploy is a GitHub action (and command line script) to deploy apps to AWS Elastic Beanstalk. It takes the application name, environment name, version name, region and filename as parameters, uploads the file to S3, creates a new version in Elastic Beanstalk, and then deploys that version to the environment. It will wait until the deployment is finished, logging any messages from the environment during the update and exiting with a non-zero exit code if the deployment fails. It does not handle rolling back the environment.
Tags: #javascript
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supermemo
🧑🎓 A JavaScript/TypeScript implementation of the SuperMemo 2 (SM2) algorithm for spaced based repetition flashcards.
A JavaScript/TypeScript implementation of the SuperMemo 2 (SM2) algorithm for spaced based repetition flashcards.
Hit the Star button if you love this project ⭐️
Tags: #typescript • supermemo • supermemo2
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loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
loss-landscapesis a PyTorch library for approximating neural network loss functions, and other related metrics, in low-dimensional subspaces of the model’s parameter space. The library makes the production of visualizations such as those seen in Visualizing the Loss Landscape of Neural Nets much easier, aiding the analysis of the geometry of neural network loss landscapes.This library does not provide plotting facilities, letting the user define how the data should be plotted. Other deep learning frameworks are not supported, though a TensorFlow version,
loss-landscapes-tf, is planned for a future release.NOTE: this library is in early development. Bugs are virtually a certainty, and the API is volatile. Do not use this library in production code. For prototyping and research, always use the newest version of the library.
Tags: #python
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