Emulator for rapid prototyping of Software Defined Networks
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Emulator for rapid prototyping of Software Defined Networks
An XMPP Framework in Objective-C for Mac and iOS
:rocket: Lightning fast and elegant mvc framework for Java8
Remote network and data debugging for your native iOS app using Chrome Developer Tools
SuiteCRM - Open source CRM for the world
(Replaces Next.js/Nuxt) 🔨 Build mission-critical applications with stability and development freedom.
A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.
The Forge Cross-Platform Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A Rust HTTP server for Python applications
Python module that makes working with XML feel like you are working with JSON
ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.
Easy to use CFNetwork wrapper for HTTP requests, Objective-C, Mac OS X and iPhone
:tea: iOS UI Automation Test Framework
Desktop app that records your on-screen work session and uses the GitHub Copilot SDK to reconstruct it as an intent + ordered steps, then builds a reusable Skill or Automation for Microsoft Autopilots like Scout, Microsoft Copilot Cowork, or Copilot Studio.
Convolutional Neural Network for Text Classification in Tensorflow
TranslatedNext generation Electron build tooling based on Vite. A new generation of Electron development and build tool that supports source code protection
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Node's framework for interactive CLIs
Bolts is a collection of low-level libraries designed to make developing mobile apps easier.
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.
The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.
Speed up downloads by combining multiple network connections in parallel
A private network system that uses WireGuard under the hood.