Search Results for "high performance computing"
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Showing 8 open source projects for "high performance computing"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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GitHub Actions for DigitalOcean
GitHub Actions for DigitalOcean - doctl
...Powerful and production-ready, our cloud platform has the solutions that devs like you need to succeed, whether you're building world-changing AI apps, running a side project, or building a business. GPU solutions for everyone—novice to expert. Run training and inference, process large data sets and complex neural networks, and deploy high-performance computing clusters. -
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ReductStore
The fastest time series object store for Edge AI
History storage and management of images, vibration data, text, labels, and more - all in one place with the highest performance. Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. -
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Ignite UI CLI
Ignite UI Command-Line Interface by Infragistics
A complete Angular components library of Angular-native UI controls and material-based UI components, including the fastest Angular data grid and 60+ high-performance charts! Compatible with Angular 16 and built to be enterprise-grade. Kickstart your next project with our drag-and-drop WYSIWYG App Builder for the fastest way to deliver high-performance Angular apps. Angular app development has never been easier with the cloud-based WYSIWYG drag & drop App Builder™. Instantly convert designs into production-ready HTML, TypeScript & CSS for Angular and deliver apps faster than ever before. ... -
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Swagger 2.0
Swagger 2.0 implementation for go
...Now in version 2.0, Swagger is more enabling than ever. And it's 100% open-source software. go-swagger brings to the go community a complete suite of fully-featured, high-performance, API components to work with a Swagger API, server, client, and data model. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Nunu
A CLI tool for building Go applications
Nunu is a CLI scaffolding tool for building Go applications; it aggregates and encapsulates popular Go ecosystem libraries to provide a modular, high‑performance, extensible foundation, complete with documentation and test support. Nunu is a scaffolding tool for building Go applications. Its name comes from a game character in League of Legends, a little boy riding on the shoulders of a Yeti. Just like Nunu, this project stands on the shoulders of giants, as it is built upon a combination of popular libraries from the Go ecosystem. ... -
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Hypercube
Graph visualizing tool
...It uses a simulated annealing algorithm to lay out the graph, that can be easily parameterized to achieve the desired look. The main development goals are portability and easy usage rather than high performance and complexity. -
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The Art of Command Line
Master the command line, in one page
The Art of Command Line is a single, highly curated page of tips that distills years of Unix command-line experience into practical, memorable guidance. It emphasizes fluency: small habits and commands that compound into faster debugging, data wrangling, and system navigation. The content spans basic shell usage, text processing with tools like grep/sed/awk, networking and performance inspection, and advice for working safely with root and destructive commands. Many entries highlight... -
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jackal
Instant messaging server for the Extensible Messaging
jackal is a free, open-source, high-performance XMPP server that aims to be known for its stability, simple configuration and low resource consumption. Customizable, enforced SSL/TLS. Stream compression (zlib), database connectivity for storing offline messages and user settings (PostgreSQL 9.5+, BoltDB). Caching (Redis 6.2+), clustering capabilities (etcd 3.4+) Expose Prometheus metrics, cross-platform (OS X, Linux).
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