Search Results for "neural network designer c#"
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Showing 203 open source projects for "neural network designer c#"
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With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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Meet the ever-evolving needs of parking rules, parkers, and curbside space with secure and efficient enforcement solutions that fulfill operational goals and provide helpful, convenient service. We consider every client a partner—and customer success and growth are our primary goals. That’s why we work alongside you to understand your needs, then deliver innovative solutions that work specifically for you. Private lots and garages come in all shapes, sizes, and forms. That’s why we provide a full range of solutions to help maximize compliance, eliminate congestion, and increase turnover, so your property is as efficient as possible. Off-street parking can require a system capable of handling sophisticated business rules. Our feature-rich off-street solutions provide you with the breadth of functionality you need to run an efficient parking operation.
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared... -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C... -
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers... -
Unlock significant value in your marketing campaigns, lead generation strategies, and identity verification workflows with our leading US consumer and B2B datasets. Our unrivaled consumer datasets provide you with valuable consumer insights including lifestyle attributes, buyer intent, and consumer website visits. Explore our B2B dataset for comprehensive and up-to-date contact data on US companies and professionals to build your sales pipeline. Trust our identity data for accurate identity verification to ensure platform trust and compliance.
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference... -
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Warzone 2100
Free and open source real-time strategy game
A 100% free and open-source 3D real-time strategy game. Command the forces of The Project in a battle to rebuild the world after mankind has been nearly destroyed by nuclear missiles. Play versus your friends on a local network, or try your hand at online multiplayer with an integrated lobby. Play versus AI bots in local skirmishes (or as added teammates/enemies in multiplayer), and practice your skills with endless replayability. Over 400 different technologies yield an extensive tech tree... -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following... -
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pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build. Requires installed python3 with PyTorch and torch-vision. You can choose to only build... -
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Darknet YOLO
Real-Time Object Detection for Windows and Linux
This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project. -
Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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ONNX
Open standard for machine learning interoperability
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep... -
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SentencePiece
Unsupervised text tokenizer for Neural Network-based text generation
SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre... -
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
... of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded. -
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Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train... -
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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Chess Engines for Android
Chess engines that support the UCI or XBoard protocol.
... information (e. g. link to the source code). Chess engines are located in the libs directory and are available for arm64-v8.2a-dotprod, arm64-v8a, armeabi-v7a, x86 and x86_64 based devices. If a chess engine supports NNUE (Neural Network Updated Efficiently) technology and the network is not embedded in the binary, you will find the missing network file in the networks directory. Requires a chess app that has full access to the internal memory (e.g. Chess for Android 6.2.1 or DroidFish). -
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Open source SCADA running on Windows. Development environment ANSI C/C++98. HMI is based on Qt library. Different technologies (EiC, GigaBASE, FastDB, ORTE) have been integrated. Supported drivers: OPC DA 2.05a, AE 1.10, HDA 1.20, XML DA 1.0, OPC UA 1.03, DNP 3.0, RFC 1006, Modbus, MQTT 3.1.1/Sparkplug B, IEC 60870-5-101/103/104, IEC 62056 DLMS/COSEM, IEC 61850, M-BUS, SNMP.
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Qsampler
A LinuxSampler Qt GUI Interface
Qsampler is a linuxsampler GUI front-end application written in C++ around the Qt4 toolkit using Qt Designer. For the moment it just wraps the client interface of LinuxSampler Control Protocol (LSCP) (http://www.linuxsampler.org). -
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dotNET HMI & SCADA Control
E-XD++ .NET HMI & SCADA Control for C/C++/C#
.... It can communicate and network through TCP/IP, currently supports: 1. Import and export of SVG. 2. Screen splicing. 3. More than 3000 kinds of various HMI Components. 4. Alarm 5. Real-time curve 6. Historical curve 7. Report 8. Rapid deployment. http://www.ucancode.net It can be seamlessly integrated directly with any C\C++ or .NET application program. When developing, directly use HMIBuilder to configure the project file, and then put the UCanCode .NET control in .NET or other C\C++, ASP -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are Imperative, Procedural, Object-Oriented, Functional, Meta programming, Declarative programming using nested structures, and Natural programming. The language is portable (Windows, Linux, macOS, Android, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be Simple, Small and Flexible. -
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dibnn
Drop In the Bucket Neural Networks
One more lightweight neural network in C. -
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This site hosts MediaPortal plugins and skins which are not part of the MediaPortal core project. Any MP plugin developer or skin designer is welcome to publish his plugin/skin in this project.
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NeuronetExperimenter
NeuronetExperimenter simulates the activity of biological neurons
The NeuronetExperimenter software can be used to quickly simulate large sets of biological neurons arranged with arbitrary network connectivity. The software makes it easy to investigate the behaviors of large, complex, neural networks, especially when starting from XPPAUT models (http://www.math.pitt.edu/~bard/xpp/xpp.html). The software is very flexible and allows users to develop multiple neuron types with different constituent differential equations describing their behavior. Any... -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and Ubuntu... -
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DeepImageTranslator
DeepImageTranslator: a deep-learning utility for image translation
Created by: Run Zhou Ye, En Zhou Ye, and En Hui Ye DeepImageTranslator: a free, user-friendly tool for image translation using deep-learning and its applications in CT image analysis Citation: Please cite this software as: Ye RZ, Noll C, Richard G, Lepage M, Turcotte ÉE, Carpentier AC. DeepImageTranslator: a free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis. SLAS technology. 2022 Feb 1;27(1):76-84. https...