Displaying 1 to 20 from 66 results

awesome-vulkan - Awesome Vulkan ecosystem

  •    

A curated list of awesome Vulkan libraries, debuggers and resources. Inspired by awesome-opengl and other awesome-... stuff. This work is licensed under a Creative Commons Attribution 4.0 International License.

NiceHashMiner - NiceHash easy to use CPU&GPU Miner

  •    CSharp

Please follow us on Twitter @NiceHashMining for updates on new versions and other important information. NiceHash Miner is essentially the only tool a miner needs. No need to go through tons of configuration files, various mining software versions, configuration tuning or cryptocurrency coins market analysis. Auto-tuning for best performance and efficiency, automatic selection and runtime automatic switching to most profitable cryptocurrency algorithm are all integrated into NiceHash Miner and will enable you seamless, joyful and profitable mining experience.

Deep-Learning-Boot-Camp - A community run, 5-day PyTorch Deep Learning Bootcamp

  •    Jupyter

Tel-Aviv Deep Learning Bootcamp is an intensive (and free!) 5-day program intended to teach you all about deep learning. It is nonprofit focused on advancing data science education and fostering entrepreneurship. The Bootcamp is a prominent venue for graduate students, researchers, and data science professionals. It offers a chance to study the essential and innovative aspects of deep learning. Participation is via a donation to the A.L.S ASSOCIATION for promoting research of the Amyotrophic Lateral Sclerosis (ALS) disease.

tf_trt_models - TensorFlow models accelerated with NVIDIA TensorRT

  •    Python

This repository contains scripts and documentation to use TensorFlow image classification and object detection models on NVIDIA Jetson. The models are sourced from the TensorFlow models repository and optimized using TensorRT. Flash your Jetson TX2 with JetPack 3.2 (including TensorRT).




nvtop - NVIDIA GPUs htop like monitoring tool

  •    C

Nvtop stands for NVidia TOP, a (h)top like task monitor for NVIDIA GPUs. It can handle multiple GPUs and print information about them in a htop familiar way. NVTOP has a builtin setup utility that provides a way to specialize the interface to your needs. Simply press F2 and select the options that are the best for you.

cuml - cuML - RAPIDS Machine Learning Library

  •    Python

cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.


romfont - VGA and BIOS rom font extraction

  •    C

I have diassembled and/or searched BIOS and VGA-ROMs for fonts and extracted these. Also I have written a few tools to support this job. All extracted fonts and screenshots are available here. I have written a big table to show what is covered. Also had a look and wrote about fonts of open source BIOSes/source available. If you have exotic ROMs or links to other open source BIOSes please let me know. Testing a ROM for known fonts and add it to this list only takes a few minutes and if there is one with a yet unknown font, I am happy to extract and document it :) I am really intersted in ROMs of old laptops with weird LCD-fonts and embedded devices (like POS systems, cash registers, money machines and other stuff). Also if you have localized graphic cards, that bring a local charset (ex. greek), I am happy to extract their' fonts.

cuda-api-wrappers - Thin C++-flavored wrappers for the CUDA Runtime API

  •    C++

nVIDIA's Runtime API for CUDA is intended for use both in C and C++ code. As such, it uses a C-style API, the lowest common denominator (with a few notable exceptions of templated function overloads). This library of wrappers around the Runtime API is intended to allow us to embrace many of the features of C++ (including some C++11) for using the runtime API - but without reducing expressivity or increasing the level of abstraction (as in, e.g., the Thrust library). Using cuda-api-wrappers, you still have your devices, streams, events and so on - but they will be more convenient to work with in more C++-idiomatic ways.

intrinsic3d - Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

  •    C++

Copyright (c) 2019, NVIDIA Corporation and Technical University of Munich. All Rights Reserved. The Intrinsic3D source code is available under the BSD license, please see the LICENSE file for details. All data in the Intrinsic3D Dataset is licensed under a Creative Commons 4.0 Attribution License (CC BY 4.0), unless stated otherwise. Intrinsic3D is a method to obtain high-quality 3D reconstructions from low-cost RGB-D sensors. The algorithm recovers fine-scale geometric details and sharp surface textures by simultaneously optimizing for reconstructed geometry, surface albedos, camera poses and scene lighting.

coriander - Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices

  •    LLVM

Build applications written in NVIDIA® CUDA™ code for OpenCL™ 1.2 devices. Other systems should work too, ideally. You will need at a minimum at least one OpenCL-enabled GPU, and appropriate OpenCL drivers installed, for the GPU. Both linux and Mac systems stand a reasonable chance of working ok.

nvptx - How to: Run Rust code on your NVIDIA GPU

  •    Rust

Since 2016-12-31, rustc can compile Rust code to PTX (Parallel Thread Execution) code, which is like GPU assembly, via --emit=asm and the right --target argument. This PTX code can then be loaded and executed on a GPU. However, a few days later 128-bit integer support landed in rustc and broke compilation of the core crate for NVPTX targets (LLVM assertions). Furthermore, there was no nightly release between these two events so it was not possible to use the NVPTX backend with a nightly compiler.

CudaSift - A CUDA implementation of SIFT for NVidia GPUs (1.6 ms on a GTX 1060)

  •    Cuda

This is the fourth version of a SIFT (Scale Invariant Feature Transform) implementation using CUDA for GPUs from NVidia. The first version is from 2007 and GPUs have evolved since then. This version is slightly more precise and considerably faster than the previous versions and has been optimized for Kepler and later generations of GPUs. On a GTX 1060 GPU the code takes about 1.6 ms on a 1280x960 pixel image and 2.4 ms on a 1920x1080 pixel image. There is also code for brute-force matching of features that takes about 2.2 ms for two sets of around 1900 SIFT features each.

Anakin - High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices

  •    C++

Welcome to the Anakin GitHub. Anakin is a cross-platform, high-performance inference engine, which is originally developed by Baidu engineers and is a large-scale application of industrial products.

webdriver.sh - bash script for managing NVIDIA web drivers on macOS

  •    Shell

Bash script for managing NVIDIA's web drivers on macOS High Sierra and later with an option to set the required build number in NVDAStartupWeb.kext and NVDAEGPUSupport.kext. Installs/updates to the latest available NVIDIA web drivers for your current version of macOS.

TinyNvidiaUpdateChecker - Check for NVIDIA GPU driver updates!

  •    CSharp

This application has a simple concept, when launched it will check for new driver updates for your NVIDIA gpu! With this you no longer need waste your time searching if there's something new to get. HTML Agility Pack will automatically install when attempting to debug the project (make sure you're running the latest version of VS2017), or you may manually install it by doing the following: Open up your Package Manager Console and type in Install-Package HtmlAgilityPack.






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