Search Results for "machine"
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Showing 51 open source projects for "machine"
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. -
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Supabase
The open source Firebase alternative
...Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. Manage Supabase projects from your local machine. -
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ko
Build and deploy Go applications on Kubernetes
...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 powerful tool for Kubernetes applications. ko depends on the authentication configured in your Docker config. If you can push an image with docker push, you are already authenticated for ko. ... -
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electron-builder
A complete solution to package and build a Electron app
A complete solution to package and build a ready-for-distribution Electron, Proton Native app for macOS, Windows and Linux with “auto update” support out of the box. You can use electron-builder only to pack your electron app in a AppImage, Snaps, Debian package, NSIS, macOS installer component package (pkg) and other distributable formats. Build and publish in parallel, using hard links on CI server to reduce IO and disk space usage. Docker images to build Electron app for Linux or Windows... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across 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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DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,... -
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SST
Build serverless apps. Set breakpoints and test your functions locally
...The sst start command starts up a local development environment that opens a WebSocket connection to your deployed app and proxies any Lambda requests to your local machine. Supports all Lambda triggers, so there's no need to mock API Gateway, SQS, SNS, etc. Supports real Lambda environment variables and Lambda IAM permissions. -
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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++... -
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Akka
Build concurrent, distributed, and resilient message-driven apps
...Building on the principles of The Reactive Manifesto Akka allows you to write systems that self-heal and stay responsive in the face of failures. Up to 50 million msg/sec on a single machine. Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure. -
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Luigi
Python module that helps you build complex pipelines of batch jobs
...You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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FlubuCore
A cross platform build and deployment automation system
"FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent... -
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SMC - The State Machine Compiler
Translates state machine into a target programming language.
SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info. -
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Orchest
Build data pipelines, the easy way
...Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically. -
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Buck
Build system that encourages the creation of small, reusable modules
...It encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms. Buck builds independent artifacts in parallel to take advantage of multiple cores on your machine. Further, it reduces incremental build times by keeping track of unchanged modules so that the minimal set of modules is rebuilt. Buck only uses the declared inputs, which means everybody gets the same results. Buck looks at the contents of your inputs, not their timestamps to figure out what needs to be built. As a result, incremental builds should always be correct, so there's no need to perform a clean build. ... -
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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...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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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. ... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. -
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Static Site Boilerplate
A better workflow for building modern static websites
...Automated build processes, a local development server, production minification and optimizations, and the latest standards for static websites. Get up and running in seconds with the built-in development server. No need to have a pre-existing server installed on your machine to start developing. Your HTML, styles, and scripts will be automatically linked, concatenated, and minified for optimal loading speed in production. Write your CSS with Sass or Less and without vendor prefixes. Your styles will be automatically processed and prefixed with data based on current browser popularity. All changes to your files while developing are monitored in real-time. ... -
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A Finite State Machine Editor, written on QT. It allows to draw Finite State Machine with easy GUI and store it in XML file. There are Finite State Machine Compilers to translate this description to source code (technique like QT's UIC uses).
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deploy.NET
Tool for building and deploying Microsoft.NET applications.
deploy.NET is NOT for creating setup files! It is a tool to run scripts to automatically build, package and upload a .NET application to an FTP server. A different script can then be run on the customer's machine for downloading, unpacking and installing your application. -
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Packer Windows
Windows Packer Templates
This repository provides pre-configured Packer templates for automating the build of Windows virtual machine images (Vagrant “boxes”) for VMWare Fusion and VirtualBox. Originally based on VeeWee, it automates unattended Windows installation, provisioning, and packaging, streamlining the creation of reusable dev/test environments. -
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BorlandC in fullscreen by JTW
Setup to run BorlandC in fullscreen in Windows & Linux machines
Hi dear friends, In my free time I have created a setup that can allow to run Borland C++ in fullscreen in Windows 7 and Ubuntu (Tested in Ubuntu 12.04) machines. Now it is easy to use our popular Borland C++ in Windows 7 or in Ubuntu machine. This setup will do all for you and it will create a shortcut on desktop named as "BorlandC" to access Borland C++. I have named it as "BorlandC in fullscreen by JTW" . Its current version is 1.0. -
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ElymOs
Linux OS from ubuntu, customisable for everyone, social and media
Ubuntu based GNU/Linux system, use Gnome Shell. Easy for learn Linux and programming. All software of everyday use. Wine and Virtual Machine for use other OS. -
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PHP Report Generator generates PDF-files from an result set of an SQL Statement. The description of the report is stored in a SQL Table. The project consists of the printing machine and an HTML front end, to create a report definition.
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TICO
Interactive communication boards for people with severe disabilities.
TICO is currently a part of ARASUITE!!!! Please, look for ARASUITE in Sourceforge!!!! https://sourceforge.net/projects/arasuite/ TICO is a tool for the design and execution of interactive communication boards. Communication boards are highly used in augmentative and alternative communication (AAC) environments.
