Search Results for "virtual-machine" - Page 6
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Showing 305 open source projects for "virtual-machine"
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1
TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. ... -
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Bot Framework Solutions
Set of templates and solutions to build advanced conversational apps
...Extend your assistant with reusable conversational Skills to add common functionality such as collection of reusable conversational skills enabling you to add functionality to a Virtual Assistant. Try the sample Skills available like Calendar, Email, To Do, Point of Interest, and more. -
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GoSpider
Gospider - Fast web spider written in Go
...Parse robots.txt. Generate and verify link from JavaScript files. Link Finder. Find AWS-S3 from response source. Find subdomains from the response source. Get URLs from Wayback Machine, Common Crawl, Virus Total, Alien Vault. Format output easy to Grep. Support Burp input. Crawl multiple sites in parallel. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Microsoft Bot Framework SDK
Tool for building conversation applications
Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring... -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also... -
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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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RESTful API Node Server Boilerplate
A boilerplate for building production-ready RESTful APIs using Node.js
A boilerplate/starter project for quickly building RESTful APIs using Node.js, Express, and Mongoose. By running a single command, you will get a production-ready Node.js app installed and fully configured on your machine. The app comes with many built-in features, such as authentication using JWT, request validation, unit and integration tests, continuous integration, docker support, API documentation, pagination, etc. The app has a utility ApiError class to which you can attach a response code and a message, and then throw it from anywhere (catchAsync will catch it). ... -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhereâacross AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the... -
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Minishift
Run OpenShift 3.x locally
Minishift is a tool that helps you run OpenShift locally by running a single-node OpenShift cluster inside a VM. You can try out OpenShift or develop with it, day-to-day, on your local host. Minishift requires a hypervisor to start the virtual machine on which the OpenShift cluster is provisioned. Make sure that the hypervisor of your choice is installed and enabled on your system before you start Minishift. Minishift documentation is published as a part of the OpenShift Origin documentation library. Check out the latest official Minishift documentation for information about getting started, using, and contributing to Minishift. -
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Orbit
Virtual actor framework for building distributed systems
Orbit is a framework to write distributed systems using virtual actors on the JVM. A virtual actor is an object that interacts with the world using asynchronous messages. At any time an actor may be active or inactive. Usually the state of an inactive actor will reside in the database. When a message is sent to an inactive actor it will be activated somewhere in the pool of backend servers. -
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Kore
Scalable and secure web application framework
...It is fully privileged separated while using strong security features at the operating system level such as second, pledge, unveil, and more. Today Kore is used in a variety of applications ranging from high assurance cryptographic military devices, machine-learning stacks and even in the aerospace industry. From embedded platforms all the way to high-performance servers. Kore scales. Kore is open source software licensed under the ISC license and developed in my spare time. If Kore helped you or your company please consider a donation to help any future development. Kore provides official docker images for its releases. -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
15
Keystone Engine
Keystone assembler framework: Core (Arm, Arm64, Hexagon, Mips, etc.)
Keystone is a lightweight multi-platform, multi-architecture assembler framework. Multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Ethereum Virtual Machine, Hexagon, Mips, PowerPC, Sparc, SystemZ, & X86 (include 16/32/64bit). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in C/C++ languages, with bindings for Java, Masm, Visual Basic, C#, PowerShell, Perl, Python, NodeJS, Ruby, Go, Rust, Haskell & OCaml available. Native support for Windows & *nix (with Mac OSX, Linux, *BSD & Solaris confirmed). ... -
16
Multrin
Organize apps windows in tabs like in abandoned Windows Sets and more
...Multrin works currently only on Windows and macOS. Support for Linux coming soon. Before running Multrin in development mode, please ensure you have Node.js installed on your machine. When running on Windows, make sure you have build tools installed. You can install them by running as an administrator. -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ... -
20
Zappa
Serverless Python
...With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies. -
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TypeScript Koa Starter
TypeScript Koa Starter
Koa with TypeScript's application generator. Creates a new typescript koa application. application is configured to use TypeScript instead of plain JavaScript. Node Js is great for the rapid development of web-projects, but is often neglected because of the lack of type safety. TypeScript solves this issue and (along with its linter file) can even make your code more robust than some other static languages like Java. -
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TMSU
TMSU lets you tags your files and then access them
TMSU lets you tags your files and then access them through a nifty virtual filesystem from any other application. TMSU is a tool for tagging your files. It provides a simple command-line utility for applying tags and a virtual filesystem to give you a tag-based view of your files from any other program. TMSU does not alter your files in any way: they remain unchanged on disk, or on the network, wherever your put them. -
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CoreRender
UIKit a-lĂ SwiftUI.framework
...CoreRender uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of inputs and the framework takes care of the rest (diff and reconciliation from virtual view hierarchy to the actual one under the hood). CoreRender includes the robust and battle-tested Facebook's Yoga as default layout engine. Any component such as a text or image can be recycled and reused anywhere in the UI. -
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Network Function Framework for Go
NFF-Go -Network Function Framework for GO (former YANFF)
NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath.... -
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pulse - Java web app framework / CMS
Built for enterprise level and highly customized websites
... - Provides a framework for quick development of own applications. - Is delivered with a host of out-of-the-box applications: CMS, Shop, Surveys, Filters and many more. - A WebDAV based virtual file system for digital asset management. - Mature user and role management - Easy-to-use administration interface based on AJAX (using Ext JS) - Built for internationalisation - Flexible templating with XSLT 2.0/XPath 2.0 pulse is designed with brand sites in mind where absolute flexibility in presentation is a core requirement.
