Search Results for "software without code" - Page 3
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Showing 207 open source projects for "software without code"
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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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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Code Guide
Standards for developing consisten and sustainable HTML and CSS
Code Guide is a set of standards for developing consistent, flexible, and sustainable HTML and CSS. It comes from years of experience writing code on projects of all sizes. It's not the end-all be-all, but it's a start. Don't capitalize tags, including the doctype. Use soft tabs with two spaces, they're the only way to guarantee code renders the same in any environment. Nested elements should be indented once (two spaces). Always use double quotes, never single quotes, on attributes. Don't... -
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Hello AI World
Guide to deploying deep-learning inference networks
...In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. ... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. ... -
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Functional-Light JavaScript
Pragmatic, balanced FP in JavaScript
...Numerous examples and exercises turn abstract ideas into patterns you can apply in everyday modules and services. It’s a developer-friendly path to writing clearer, more predictable code without abandoning JavaScript’s strengths. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Binarytree
Python library for studying Binary Trees
Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms. -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged software tool. Documentation across languages and frameworks. ... -
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Tech Interview Handbook
Curated coding interview preparation materials
Tech Interview Handbook is a curated, mostly self-contained compilation of technical interview preparation resources—including algorithms, system design, resume tips, and behavioral questions—crafted for busy software engineers. The information in this repository is condensed. Ultimately, the key to succeeding in technical interviews is consistent practice and I don't want to bore you with too many words. I tell you the minimum you need to know on how to go about navigating the interview... -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
This repository is used to document my journey on getting a better foundational knowledge of DevOps. I will be starting this journey on the 1st January 2022 but the idea is that we take 90 days which just so happens to be January 1st to March 31st. The reason for documenting these days is so that others can take something from it and also hopefully enhance the resources. The goal is to take 90 days, 1 hour a day, to tackle over 13 areas of DevOps to foundational knowledge. This will not... -
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Awesome macOS
Curated list of awesome applications, softwares, tools for macOS
A curated list of awesome applications, software, tools and shiny things for macOS. Items marked are open-source software and links to the source code. Items marked with freeware are free (as in free beer). -
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Graphics Workshop
Learn computer graphics by writing GPU shaders
...The workshop covers topics such as fragment shaders, procedural textures, rasterization, lighting, stylized rendering, and real-time ray tracing. It is designed so learners can focus on shader code while the surrounding WebGL and JavaScript harness is already provided. Projects are meant to run in real time on modern GPUs and encourage creative visual experimentation. It is especially useful for programmers who want a practical entry point into computer graphics without starting from a blank rendering engine. -
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code-review-tips
Common problems to look for in a code review
code-review-tips is a concise, actionable set of heuristics to improve the quality and consistency of software code reviews. While examples are written in JavaScript, the advice generalizes to most languages and frameworks. The tips focus on spotting common pitfalls—naming ambiguity, hidden complexity, missing tests, leaky abstractions, performance traps, and security footguns—before they reach production. -
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CSS Animation 101
Learn how to bring animation to your web projects
CSS Animation 101 is a tutorial resource that teaches the fundamentals of motion on the web using only CSS. It starts with core building blocks—transitions, transforms, and keyframes—and then layers in timing functions, delays, and choreography to create more expressive sequences. The material stresses clarity and maintainability, showing how to structure styles so animations are easy to reason about and adjust. Throughout, examples demonstrate practical use cases like button feedback,... -
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Canteen Calandreta
Tool to manage canteen, nursery and events registrations of a school.
...More over, this software allow to manage organization of events (description, dates, registrations, ...). A translation in Occitan is now available ! Note a part of source code comes from ASTRES project (GPL help-desk software). ---- Ce logiciel a été développé par la Calandreta de Muret, école associative Occitane (Escòla Calandreta Murèth). -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs... -
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raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry
...Each lesson introduces a kernel feature and demonstrates its implementation within RPi OS, followed by a comparison to how the same concept is realized in the Linux kernel. The repository is structured so that every lesson corresponds to a snapshot of the source code at that stage, making it easier for learners to follow the progression of kernel development. The design of the lessons emphasizes gradual learning, allowing readers without prior OS development experience to understand kernel internals. The project is still under active development and encourages community contributions to expand its lessons and improve its content. -
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
This guide aims to help software developers think more clearly about how to build systems that are not only functional today but maintainable into the future. It focuses on three architectural “ilities”: readability, reusability, and refactorability, presenting them in a hierarchical framework so developers can evaluate and improve their code and system design. -
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PH_Playground
Simple solution for testing and documenting short code snippets.
Version 4.0: improved history, error, and view mode handling Version 3.0: JavaScript editing, Quick console, History files for browsing and loading scripts. Version 2.0: CodeMirror functionality, ajax calls. Tired of opening an editor to test short code snippets for functionality, saving the file and then running it in a browser? PH_Playground provides a simple solution on a single browser page. Enter the code to be tested into the "PHP" or "JS" window and press "Run". The result... -
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights, biases, activation functions, and gradient descent, as well as more advanced techniques like convolutional networks, recurrent networks, and reinforcement learning. ... -
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Freebasic Beginners Guide
An updated Beginners guide to FreeBASIC
The purpose of this project is to create and update a beginners guide to FreeBASIC. Over the years I have noticed that there was only three real ways to learn FreeBASIC. The FreeBASIC Documentation, the FreeBASIC Community Forum, and A old beginners guide written by Richard D. Clark and Ebben Feagan. Each of these sources are great, but they all assume some experience with a programming language. This Project is taking Richard D. Clark's and Ebben Feagan's "A Beginner's Guide to... -
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LibreGrammar (LanguageTool fork)
Free and open-source style and grammar editor
This is a free and open-source style and grammar checker forked from Languagetool. This project intends to be a full-blown software editor for French, English, German, Spanish, Portuguese and many other languages that enhances LanguageTool with extended rules — with emphasis on style rules —, and enables many rules disabled by default on LanguageTool project. Other changes include lower reliance on online mechanisms and extra languages. --- Este é um verificador de gramática e... -
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BookPart2
Interpreter Code for Book Part 2
...The book provides fully working open-source code (also deposited at Github) and explains in plain English how the code works and why certain decisions were made. The book makes liberal use of code throughout the book chapters. Everything is done without the -
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Analyze
Draven's Blog
analyze is a collection of in-depth source code analyses of popular open source projects, primarily focused on programming languages, compilers, operating systems, and distributed systems. Maintained as a knowledge repository, it contains detailed write-ups that explain the internal mechanisms of complex software systems. The project is designed for developers and researchers who want to deepen their understanding of how widely used technologies are built and maintained. ... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for... -
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Java Tutorial For Beginners
Java Tutorial For Beginners with 500 Code Examples
...The content is organized to build understanding progressively, making it accessible for those with little or no prior programming experience. It emphasizes hands-on learning, encouraging users to write and run code while following along with explanations. The repository also integrates simple real-world scenarios to reinforce concepts. Its goal is to provide a strong foundation for further exploration of Java and related technologies. It is widely used as an entry point into software development. -
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nuBASIC
BASIC language interpreter (multiplatform)
nuBASIC is an implementation of an interpreter of the BASIC programming language and IDE. It has been designed mainly for educational purposes and it is suitable for simple games, educational or small business programs.