gpu
Projects with this topic
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Isard VDI (Virtual Desktop Infraestructure) Project. Open Source KVM Virtual Desktops based on KVM Linux and dockers. https://isardvdi.com/
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Multidimensional arrays for C++. (Not an official Boost library) GitHub mirror: https://github.com/correaa/boost-multi
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PYthon Radio Astronomy anaLYSis and Image Synthesis
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PyHole is a general relativity ray tracing code written in Python and OpenCL. It includes an easy to use interface for interactive analysis of the dynamics around arbitrary axisymmetric stationary space-times.
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A Paralellised Parton Shower, written in CUDA. Generates Partonic Level e+e- Events.
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Scholara: A Virtual Assistant Powered by LLM, RAG, and AI Agent.
Finding the right scholarship can be a timeconsuming and frustrating process. You'll likely spend hours poring over university websites, communicating with current students, and scouring the internet for information. Unfortunately, even after all that effort, there's no guarantee you'll find the perfect scholarship. That's where our AI scholar comes in. Let us handle the legwork for you, and we'll provide personalized assistance to find the most suitable scholarship for you and answer all your questions about the scholarships that interest you. We solved this by using LLM to provide a human-like when answer the students, RAG we build our own vector database to get more suitable scholarships from it based on student information and desire, also to keep our system up-to-date with all the updated information about the scholarships we built AI Web agent this helps the system to be aware about all the updates in the scholarships information, and new scholarships.Updated -
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NnmfPack was conceived for efficiently solving Non-negative matrix factorization problems. NnmfPack is a collection of numerical routines written in C/CUDA. NnmfPack was designed and optimized for shared memory architectures.
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Query nvidia-smi inside python and read output as list of dictionaries.
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Model collisions between cells using a phase field algorithm implemented using CUDA
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The GPU accelerated implementation of volume rendering using PyQt5 with modern OpenGL and NumPy.
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