Search Results for "engineer"
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Showing 12 open source projects for "engineer"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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p5.js
Client-side JS platform for artists, designers and students to express
...For self-learners and animators, artists, game makers, creative-technologists, curriculum planners, designers, graphic designers, graphics editors, learning experience designers, project managers, software engineer, student, teachers, university faculty members, visualization researchers, etc. -
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. ... -
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository includes textbook content, supporting labs, and companion tools such as TinyTorch to help learners move from theory to hands-on experimentation. ... -
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Cider App
A new cross-platform Apple Music experience based on Electron and Vue
...Quickly share and show others what you're listening to; right out of the box. Audio Enhancements. Audio Spatialization, Adrenaline Processor™, and Equalizers are all available and actively engineered by our Audio Engineer, Maikiwi. Remote Controllable. We know how irritating it is to Alt+Tab constantly while working or gaming, and we have a remote app just for that. Cider is available on a range of platforms, view our downloads page to find out if your device is supported! -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
DeepLearning-500-questions is a comprehensive handbook that compiles 500 important questions on deep learning, curated to serve as a valuable reference for AI engineer interviews and self-study. Edited by Tan Jiyong with contributions from Guo Zizhao, Li Jian, and Dian Songyi, the book systematically covers both theoretical foundations and practical applications of deep learning. The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. ... -
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meta
Tool for turning many repos into a meta repo
...See loop for more available options). meta is a tool for managing multi-project systems and libraries. It answers the conundrum of choosing between a mono repo or many repos by saying "both", with a meta repo! Give every engineer on your team the same project setup, regardless of where it's cloned. Execute arbitrary commands against many repos to manage your projects. Easily wrap commands for working with any platform, not just Node! -
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DOClever
The best interface management platform
DOClever is a commercial open-source product that is completely free. Whether you are a front-end engineer or a back-end engineer, the interface is always the bridge for the interaction between the two, so DOClever is specially designed for small and medium-sized teams, aiming to solve interface management, testing and data generation, and achieve a truly integrated solution plan. Can edit and manage interface information, support five methods of getting, post, put, delete, patch, support HTTP and HTTPS protocols, and support visual editing of query, body, JSON, raw, rest, formdata parameters. ... -
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Military Engineer Applications
Field calculations and background information for Military Engineers
Detailed info Need expand. -
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Zonomania is a webbased application to document a SAN (Storage Area Network) environment. It is powerful in the hand of a SAN Administrator to manage, engineer and plan a SAN.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Libray for Pro/ENGINEERs Java and JavaScript API. Contains methods to retrieve and render Data from Pro/ENGINEER content. Methods to modify and control Pro/ENGINEER Content interactively from a Webservice or client plug-in.
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QAWIKI is a wiki for QA engineers. It is a wiki which also supports an Integrated Test Environment (ITE) which allows a QA engineer to create a test case on a portal and execute/schedule it on a remote box, then collect the logs and disp them in reports.
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Tesbo
Open source AI-powered test case management software.
...Tesbo's Context Engine reads your actual project requirements from Jira and Linear, existing test cases, product documentation, and defect history before generating a single test case. Every draft cites exactly which requirement, document, and defect shaped it. Nothing enters your repository without a QA engineer approving it first. The engine learns from every approval, edit, and rejection, so generated case quality improves with every cycle. Tesbo covers the complete QA workflow: a hierarchical test case repository, test plans, runs, milestones, pass/fail reporting, flaky-test detection, requirements traceability, bug tracking, audit logs, and an MCP server for AI agent workflows. ...
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