Search Results for "binaries"

Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning...

⚠️ Please note: The official distribution of the PICSimLab simulator binaries is available on github.com and SourceForge.net. Be cautious of unofficial sites, such as picsimlab.com, which do not disclose the owner. PICSimLab is a realtime emulator of development boards with MPLABX/avr-gdb debugger integration. PICSimLab supports microcontrollers from picsim, simavr, uCsim, qemu-stm32, qemu-esp32, and gpsim.

With this software you will be able to build your own circuits and test them. You are allowed to use this easy-to-use tool for educational reasons. Run on Windows: - Install Java: https://java.com/en/download/ - Download the binaries - Open the jar-file with the java runtime Limitations: - Currently only German language supported. - This software requires Java 8 or above to work. Tested with OpenJDK & Oracle Java. For more information check out the project's source code at https://github.com/Crusader99/digital-logic-simulator

DiLa Series is a personal attempt to resurrect the oldest PCs through emulation. Downloads contain source code, documentation and some available binaries. Emulated PCs up to date: Kenbak-1

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

Scorpius Robocup soccer simulation team. we will release our binaries, base code, trainers and useful documents here.

An experimental ISS for freescale's e500v2 core. It is meant to simulate only cpu and memory subsystem and is purely intended for academic/learning purposes only.

...Speedup by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. The complete source code and pre-compiled binaries are also made available via an open source license (GPL Version 3). A CUDA enabled NVIDIA graphics card is required to use the software.