Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME
- vala
- todoapp
- todoist
- todoist-api
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Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME
Golang ORM with focus on PostgreSQL features and performance
Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
Welcome to the home of the Hot Chocolate GraphQL server for .NET, the Strawberry Shake GraphQL client for .NET and Nitro the awesome Monaco based GraphQL IDE.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
XLForm is the most flexible and powerful iOS library to create dynamic table-view forms. Fully compatible with Swift & Obj-C.
Easy to use CFNetwork wrapper for HTTP requests, Objective-C, Mac OS X and iPhone
Discover best root apps, Magisk, KernelSu & LSPosed(xposed) modules & rooting guides
A solid language pack for Vim.
URL routing library for iOS with a simple block-based API
🐕 Bare minimum 500b fetch polyfill.
Claude skills for LinkedIn. 12 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT.
Monorepo hosting the proton web clients
An interactive and powerful Git interface for Neovim, inspired by Magit
WebGL point cloud viewer for large datasets
Familiar asyncio ORM for python, built with relations in mind
AI-powered bug bounty hunting toolkit that works with or without subscription.
Turn your ES5 code into readable ES6. Lebab does the opposite of what Babel does.
Phan is a static analyzer for PHP. Phan prefers to avoid false-positives and attempts to prove incorrectness rather than correctness.
Plupload is JavaScript API for building file uploaders. It supports multiple file selection, file filtering, chunked upload, client side image downsizing and when necessary can fallback to alternative runtimes, like Flash and Silverlight.
React components for Leaflet maps
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A command-line power tool for Twitter.
:tomato: Simple and visually-pleasing Pomodoro timer