Search Results for "visual studio code" - Page 6
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Showing 132 open source projects for "visual studio code"
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Vython Studio is an Visual RAD Integrated Development Environment (IDE) for building Graphical applications in python using wxpython, PyQT and other libraries.
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The ULM.gen project is a framework that help building and customizing source-code generators from a UML model expressed as XML documents, using generation templates. It also provides tools for synchronization with UML modelers such as IBM Rational Rose.
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COMBuilder is a VB6 app that will allow you to write all COM objects for working with databases. Also, the program will create forms to work with this objects. It is planned to create also c# and vb.net code.
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Pythexe is a small project to provide a GUI tool for fast Python Compilation to Executables. Pythexe is essentially just a GUI front-end for the excellent py2exe, with which it is not affiliated. It will allow many options, but be one-click when needed.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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This project want to make clients/servers fully compatible with the C6 Tin Multichat. The client will be written in c/c++ or other portable code. The server is written in VB code because it's more easy to read :)
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TeXPerfect plans to be a cross-platform, extensible, user-friendly yet expert-tunable visual TeX implementation. The most important feature will be a split screen (inspired by WordPerfect(R) Reveal Codes) showing the underlying TeX code.
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gpt-oss-20b
OpenAI’s compact 20B open model for fast, agentic, and local use
GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility...
