Unidirectional Data Flow in Swift - Inspired by Redux
- reswift
- swift
- unidirectional-data-flow
- redux
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Unidirectional Data Flow in Swift - Inspired by Redux
ClamAV - Documentation is here: https://docs.clamav.net
Prowlarr is an indexer manager/proxy built on the popular *arr .net/reactjs base stack to integrate with your various PVR apps, supporting management of both Torrent Trackers and Usenet Indexers.
TinyDB is a lightweight document oriented database optimized for your happiness :)
A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Arkime is an open source, large scale, full packet capturing, indexing, and database system.
Fast Markdown note-taking app for Mac and iPhone
A guide to smart contract security best practices
MySQL/MariaDB database management for macOS
An MobileGestalt editor for iOS 27.x, featuring region-code tweaks, device presets, backups.
:leaves: Touch, responsive, flickable carousels
Using Low-rank adaptation to quickly fine-tune diffusion models.
The fastest and simplest library for SQLite3 in Node.js.
🚀 A lightweight, framework-agnostic database migration tool.
Automatically generate change log from your tags, issues, labels and pull requests on GitHub.
Laf is a vibrant cloud development platform that provides essential tools like cloud functions, databases, and storage solutions. It enables developers to quickly unleash their creativity and bring innovative ideas to life with ease.
πfs - the data-free filesystem!
Collection of notebooks about quantitative finance, with interactive python code.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
7-Zip with support for Brotli, Fast-LZMA2, Lizard, LZ4, LZ5 and Zstandard
Automated Adversary Emulation Platform
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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