Showing 3 open source projects for "post"

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    NVIDIA Isaac GR00T

    NVIDIA Isaac GR00T

    NVIDIA Isaac GR00T N1.5 is the world's first open foundation model

    ...It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and finetuning, preserving language understanding and improving generalization. Streamlined MLP connection between vision encoder and LLM with added layer normalization.
    Downloads: 0 This Week
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    GCBASIC
    GCBASIC is an open-source BASIC compiler for 8 bit Microchip PIC, Atmel AVR legacy, AVRDx and LGT microcontrollers. See https://ko-fi.com/post/The-Story-of-GCBASIC-Making-Microcontroller-Progr-D1D319SJ72 for story of GCBASIC. This is a continuous release project. The latest release is always available. This will give you the most complete development toolchain to create and program 8-bit PIC, AVR and LGT microcontrollers. We have added new capabilities that make GCBASIC the easiest tool set available - supporting over 1400 microcontrollers with tools to make this fun and simple. ...
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    Downloads: 186 This Week
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  • 3
    Introduction-to-Autonomous-Robots

    Introduction-to-Autonomous-Robots

    Introduction to Autonomous Robots

    ...The source-code is released under Creative Commons 4.0 (CC-BY-NC-ND), whereas the print version is copyrighted by MIT Press. You are therefore permitted to use images and content from the book for non-commercial purposes (including teaching) with proper attribution, but you cannot post compiled versions of the book online. In order to compile a PDF of this book yourself, you either need a working implementation of Latex on your computer or use the online Latex editor overleaf.com. Here, you can either upload a zip file of the source code ("download ZIP" option underneath the green "Code" button on this page), or fork the project into your Github account and import it directly into Overleaf from there.
    Downloads: 6 This Week
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