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Showing 14 open source projects for "cpu"
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Cycloid: Hybrid Cloud DevOps collaboration platformEnable your developers to do their best work and increase time-to-market speed with a leading DevOps and Hybrid Cloud platform.
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The Receptionist for iPad | the Original Visitor Management SystemThe Receptionist for iPad is visitor management software that allows users to calm the chaos of the front office. Our digital check-in solution is customizable to your needs; from your company branding, to configurable buttons and drag-and-drop-design badge printing. Effectively manage and track everyone who comes to your workspace and store the information securely in the cloud: no more paper visitor log!
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DALI
A GPU-accelerated library containing highly optimized building blocks
...Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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Bento
Packer templates for building minimal Vagrant baseboxes
Bento is a project that encapsulates Packer templates for building Vagrant base boxes. A subset of templates are built and published to the bento org on Vagrant Cloud. These published boxes serve as the default boxes for kitchen-vagrant. -
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ko
Build and deploy Go applications on Kubernetes
ko is a simple, fast container image builder for Go applications. It's ideal for use cases where your image contains a single Go application without any/many dependencies on the OS base image (e.g., no cgo, no OS package dependencies). ko builds images by effectively executing go build on your local machine, and as such doesn't require docker to be installed. This can make it a good fit for lightweight CI/CD use cases. ko also includes support for simple YAML templating which makes it a... -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
Create stunning, professional email signatures in minutesCreate, assign and manage all your employees’ email signatures and add targeted marketing banners. Stop getting worked up about your signatures! Leverage a centralized interface to easily create and manage the email signatures of all your employees. Take advantage of each email to broadcast and amplify your brand. Letsignit helps you regain control over your digital identity. Harmonize 100% of your employee’s email signatures in just a few clicks! 121 professional emails are received and 40 are sent every day by an employee. With Letsignit, turn every email into a powerful communication opportunity: send the right message to the right person at the right time! Innovative more than tech, inspiring more than following. Authentic more than overrated, close more than "think big", trustworthy more than doubtful. Hands-on more than complex, available but yet premium, fun but yet expert.
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
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pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,... -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
...The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand. -
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babel-plugin-macros
Allows you to build simple compile-time libraries
...This is fine for things like language features but can be a frustrating overhead for libraries that allow for compile-time code transformation as an optimization. babel-plugin-macros defines a standard interface for libraries that want to use compile-time code transformation without requiring the user to add a babel plugin to their build system (other than babel-plugin-macros, which is ideally already in place). There is cpu usage/time overhead; the client needs to run the code to generate these classes every time the page loads. There is code bundle size overhead; the client needs to receive a CSS parser in order to generate these class names, and shipping this makes the amount of js the client needs to parse larger. Eval-ing out code at compile time that will be baked into the runtime code, for instance, to get a list of directories in the filesystem. -
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Linux From Scratch GNU/Linux x-lfs-2010
LFS that builds GNU/Linux %100 NON-STOP from GNU C 4.4 - Firefox-20.0
see https://sourceforge.net/projects/totally-built-linux-distro/ "0.2 is so much easier than build-0.1" build-0.1 NO LONGER WORKS many URL of required src.tar.gz were (re)moved by big tech, and firefox-20 is refused by big tech cryptoXXX ~~~~~~~~~ Builds GNU/Linux from termcap and gcc up to X11 Firefox-20.0 lite. It is %100 GNU/Linux from source compiled on your box (and ready to change) "without any known build fails". It's not a fork of any distro. 350+ pkgs: ie, ddd,... -
Manage your hosting business with our vacation rental softwareWhether you’re a new or established business, you can rely on Lodgify’s vacation rental property management software for support through every step of your journey.
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MorphMPI simulates an ABI for MPI. Applications compiled using MorphMPI can easily be relinked to use any MPI implementation on a compatible OS-cpu combination.
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LCD Builder is a program where you can freely compose different information (CPU, Memory, Uptime etc.) with the help of a graphical user Interface. After composing the information you can easily display them on an external lcd (liquid crystal display
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DMUCS works with distcc to allow multiple users to share a gcc compilation farm, while guaranteeing that each compilation will be assigned to the highest-performing, available cpu in the compilation farm.
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GNUDE is a complete suite of GNU C, C++, Fortran, and Java Cross Compilers, and the GDB CPU Simulator and Debugger for embedded microprocessor applications development. Targets development for ARM7, ARM9, and XScale applications.
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CodeXpand Engine is a Scripting engine written with C++. It work with COMPILED SCRIPT linked at Run Time with Host Applications. The SCRIPT COMPILER generate the CPU bytecode requested from the Host CPU where the application (& the scripts) will run.
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