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Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
A framework for easily testing Push Notifications and Routing in XCUITests
Automated migration for new Ember application layout.
Build tailwind css for yew style applications, using docker-compose, so you don't need to have npm installed
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Fragscapy is a command-line tool to fuzz network protocols by automating the modification of outgoing network packets. It can run multiple successive tests to determine which options can be used to evade firewalls and IDS.
Custom API actions for Ember applications
TurboPack OnGuard VCL is a library to create demo versions of your Embarcadero Delphi and C++Builder VCL applications.
Algorand Specifications
A JupyterHub authenticator for LTI
Secure Preference Manager for android. It uses various Encryption to protect your application's Shared Preferences.
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
Package notify provides an implementation of the Gnome DBus Notifications Specification.
Generic nix builder for gleam applications
.NET implementation of a General Transit Feed Specification (GTFS) feed parser.
Sends native desktop notifications if CLI apps fail
Signals is a framework for developing enterprise and SaaS applications that follows the USE-CASE driven methodology
Neovim plugin to calculate mathematical expressions within a buffer with visual mode, functions and variable support.
Image classification of Fungus using ResNet
💾 Safe, statically-typed, store-agnostic key-value storage written in Swift!
Framework agnostic set of sqlalchemy classes that make building applications that require permissions an easy task.
RDP honeypot
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Web application that manage food recipes with simplicity