Search Results for "linux nvidia"
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Showing 30 open source projects for "linux nvidia"
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
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... -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
NVIDIA Isaac Sim is a high-fidelity robotics simulation platform built on NVIDIA Omniverse to develop, test, and validate AI-driven robots in physically accurate virtual environments. It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors).... -
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NVIDIA Isaac GR00T
NVIDIA Isaac GR00T N1.5 is the world's first open foundation model
NVIDIA Isaac‑GR00T N1.5 is an open-source foundation model engineered for generalized humanoid robot reasoning and manipulation skills. 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... -
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Newton
An open-source, GPU-accelerated physics simulation engine
...Newton supports OpenUSD for modern 3D scene representation and interoperability, making it suitable for complex simulation ecosystems. It is developed as a Linux Foundation project with contributions from major organizations like NVIDIA, Google DeepMind, and Disney Research, highlighting its relevance in cutting-edge robotics and AI development. -
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BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
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oxDNA
A code primarily aimed at DNA and RNA coarse-grained simulations
The oxDNA code has been moved to https://github.com/lorenzo-rovigatti/oxDNA, please go there for new releases. -
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DxTonia
A tool for detecting the presence of leg dystonia from videos.
...The software has been verified on two datasets and achieved higher accuracy than routine clinical care. Stay tuned for the improved version. Note: Currently only works on Windows PC with Nvidia GPU. Soon, mac and Linux CPU only version will be released. The requirment files are in old-version_scripts folder. Instructions to use DxTonia https://www.rishabh-bajpai.com/dxtoniainstallation https://www.medrxiv.org/content/10.1101/2024.10.15.24315574 -
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ExCon Imager
Gigapixel GPU accelerated radio interferometric imager
ExCon can create images with a very wide field of view (more than billion pixels). It implements novel gridding and image weighting algorithms. It is well suited to make ultra deep radio interferometric images, minimizing aliasing artefacts and PSF variation. NVIDIA GPU acceleration is available. JAVA/SCALA support available. -
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GSvit
Fast FDTD solver with graphics card support
Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation. -
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CUDALucas
A program that uses CUDA to accelerate the Lucas Lehmer test.
CUDALucas is a program implementing the Lucas-Lehmer primality test for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3 up to CUDA 6.5, 2.x up to 7.0 and 3.x for >=CUDA 8.0 . The program is run from the command line, however it can be configured without using a terminal. See the Wiki for more details. README for new users available at the Files/Downloads page. -
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CUDASW++: Smith-Waterman Algorithm
The fastest Smith-Waterman protein database search algorithm on GPUs
CUDASW++ software is a public open source software for Smith-Waterman protein database searches on Graphics Processing Units with CUDA. This software have been added to the NVIDIA Tesla Bio Workbench (http://www.nvidia.com/object/swplusplus_on_tesla.html -
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viewpix
A Landsat 8 scene viewer
...This is the "lite" version of Viewpix as it has no cuda filters installed. Viewpix is written in C. It is tested on Ubuntu and Centos. It should work with most current Linux distributions. Viewpix runs efficiently on computers with modest CPU's such as low power mini-ITX boards. It is known to work nicely on Intel NUC, AMD A6 SOC , and NVIDIA TX2. A multiple core cpu, 8 GB ram, and a large capacity hard drive are suggested. -
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Barracuda is a high-speed sequence aligner based on Sanger's BWA and utilizes the latest Nvidia CUDA architecture for accelerating alignments of sequence reads generated by next-generation sequencers.
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3DimViewer
3DimViewer is a lightweight 3D viewer of medical DICOM datasets.
3DimViewer is a lightweight 3D viewer of medical DICOM datasets that is distributed as open source software. The viewer is multiplatform software written in C++ that runs on Windows, Mac OS X and Linux systems. 3DimViewer source codes are available on Bitbucket (https://bitbucket.org/3dimlab/3dimviewer). Video tutorials can be found on YouTube (https://www.youtube.com/playlist?list=PLCvwUmKRw9ZO4YexLKEXmw_2jPo-kXVRn). -
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ofxKuZed-zedExample
Compiled example for ofxKuZed addon
This is openFrameworks's ofxKuZed addon with compiled example of its usage. This example shows depth map, masked color image and point cloud from StereoLabs ZED. Requirements: - Windows - ZED SDK 1.0 or later (https://cloud.mail.ru/public/8Luw/yPxdYh91A) - CUDA 7.5 (and NVidia card) https://cloud.mail.ru/public/79z4/164HTQkeq - Visual Studio 2015 Community C++ (or its redistributables https://cloud.mail.ru/public/AgYD/r9JLgBc9y) See details on installation and example usage at... -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of... -
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MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++. The idea is to provide Scientists, Engineers, Researchers and other non full-time...
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FamSeq
Variant calling on the basis of pedigree information
It is still challenging to call rare variants. In family-based sequencing studies, information from all family members should be utilized to more accurately identify new germline mutations. FamSeq serves this purpose by providing the probability of an individual carrying a variant given his/her entire family’s raw measurements. FamSeq accommodates de novo mutations and can perform variant calling at chromosome X. To accommodate variations in data complexity, FamSeq consists of three... -
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==================================== ***** ATTENTION!!! WE HAVE MOVED!!! ***** You will find all future GeNN updates on GitHub at: https://github.com/genn-team/genn THIS PAGE WILL NO LONGER BE MAINTAINED! ==================================== GeNN is a GPU enhanced Neuronal Network simulation environment based on code generation for NVidia CUDA.
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Point Cloud Library
Standalone, large scale, open project for 3D point cloud processing.
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. We are financially supported by Open Perception, Willow Garage, NVIDIA, Google, Toyota, Trimble, Urban Robotics, Honda Research Institute, Sandia, Dinast, Optronic, Ocular Robotics, Velodyne, Fotonic, Leica Geosystems, and MKE. We would also like to thank individual donors and... -
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GPU Edge Detector
GPU Interactive Program For Edge detection
This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed. This project is partly based on the Sobel Filter sample available as part of the CUDA SDK. This project also partly uses the OpenCV library to load different types of image. This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify... -
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GPUmat
GPUmat is a C/C++ GPU engine for Matlab based on NVIDIA CUDA.
Please download Windows and Linux version by clicking on "Browse All Files". GPUmat allows standard MATLAB code to run on GPUs. The engine is written in C/C++ and based on NVIDIA CUDA. Please contact gpyougroup@gmail.com for any questions. Unfortunately GPUmat was compiled for CUDA 5.0 and we basically stopped any support for other CUDA version because we don't have the resources to do it. -
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CUDA-SPHERE-FWD-MEEG
CUDA accelerated spherical model forward solution for EEG/MEG
CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup by a... -
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A way to program NVIDIA graphical processors, from Fortran-9X and eventually Matlab. Project documentation at http://flagon.wiki.sourceforge.net/
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All pairs n-body simulation of electromagnetic forces on charged particles, adapted from Nvidia SDK 3.2 sample. Uses Lorentz force from EM fields via the Biot-Savart law for moving charged particles (uses relative velocity). Relativistic.
