Search Results for "google translator source code" - Page 23
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Showing 561 open source projects for "google translator source code"
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OpenC2Pas is a C/C++/BCB to Object Pascal (Delphi/Kylix) translator. It's just a time saver, for now: do not expect any complete and exhaustive conversion, but it can convert a big portion of code for you.
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With this application you're able to develop with graphical models. Using some plugins, these models would be translated to code in several languages like SQL,OQL,C++ etc.
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VHDLC is a VHDL to C++ translator aiming at full VHDL '93 compliance. It provides the translator and supporting VHDL libraries for the target host C++ compiler.
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XSD Object Translator is capable to create Java classes from XSD files. And the classes created reflects the objects structure of valid XML files, in accordance with the XSD files. This way, this objects can to be serialized to XML and back with XStream.
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PTVM converts Object Pascal code into a given Virtual Machine language, and compiles it. Brings a common Virtual Machine Library for maximum support and compatibility. Some target platforms: Flash Player 8 and 9, J2ME with MIDP/CLDC, .NET.
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Undx is a bytecode translator, it converts the bytecode for the dalvik vm (a virtual machine for android applications) to standard java bytecode.
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Game engine + remake of Atari XL/XE game Robbo. Level loader is compatible with levels file of GNU Robbo project. This is NOT the same project as pyrobbo on google code.
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Project moved to Google Code since SourceForce is a broken, buggy, non-responsive service. I had to re-log in over 100 times just to change this description. Please visit the project at http://code.google.com/p/starflighttlc/ for the latest version of th
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Turn-based strategy game, featuring detailed mechanics and gameplay features. NOTE: This project has been moved to Google Code until Sourceforge can decide on something and not change it a minute later.
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OpenVLA 7B
Vision-language-action model for robot control via images and text
OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model...