Search Results for "frameworks"
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Showing 126 open source projects for "frameworks"
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Reinforcement Learning Course Materials
Lecture notes, tutorial tasks including solutions
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers). -
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JavaScript30
30 Day Vanilla JS Challenge
...It includes starter files and completed solutions for each daily project, covering a wide range of practical exercises like clocks, video players, geolocation apps, and more. The challenge avoids frameworks and libraries, focusing purely on core JavaScript. Each project introduces hands-on coding tasks that reinforce DOM manipulation, events, APIs, and browser features. The repository also encourages learners to share their own solutions and improvements, fostering a strong community around the challenge. With its incremental structure, it’s a popular resource for building confidence and fluency in JavaScript. -
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Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated explorations of core components in these frameworks. ... -
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freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum
...The freeCodeCamp GitHub repository encompasses both the learning platform codebase (frontend, backend, challenge engine) and many support tools, community content, and contributions. Because it is open source, anyone can propose improvements, add lessons, or adapt the platform for new languages and frameworks. -
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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You Don't Know JS Yet
A book series (2 published editions) on the JS language.
...The repository hosts the second edition of the series, which continues the author’s mission to help developers understand JavaScript beyond surface-level syntax and frameworks. Each book focuses on specific language mechanisms—such as scope, closures, objects, and types—providing a rigorous exploration of how JavaScript actually operates under the hood. The project encourages readers to engage critically with the language, moving past memorization toward true mastery and mental clarity in coding. While some volumes are still in draft form or canceled, the available books remain highly influential learning materials in the JavaScript community. ... -
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Awesome production machine learning
Curated list of awesome open source libraries
This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning. Open-source frameworks, tutorials, and articles curated by machine learning professionals. Open-source bias audit toolkits for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive risk-assessment tools. -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
...The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. Overall, this project serves as a comprehensive educational resource for learning deep learning through practical experimentation. -
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Awesome Mac
Collect premium software in various categories
...Reading and writing tools, text editors, office, markdown tools, note-taking, journaling. Ebooks, RSS, developer tools, IDEs, developer utilities, etc. Regular expression editors, API development and analysis, network analysis, command line tools, frameworks for hybrid applications, version control. Virtualization, databases, design and product, design tools, prototyping and mind-mapping tools, screen capturing software, etc. Major software download sites, there are a number of OSX Mac software sites. This project exists thanks to all the people who contribute. -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
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PHP: The Right Way
An easy-to-read, quick reference for PHP best practices
...It covers essential topics such as coding style, dependency management, error handling, security, and testing, emphasizing modern PHP features and ecosystem tools. The project encourages developers to adopt frameworks, libraries, and patterns that align with current community conventions. Regular updates ensure that the content reflects the evolving state of the PHP language and industry standards, making it one of the most trusted educational references for PHP developers. -
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JavaGuide-Interview
A study for technical interviews focused on Java
JavaGuide-Interview is a comprehensive study companion for technical interviews with a strong focus on the Java ecosystem. It organizes material across language fundamentals, collections, concurrency, JVM internals, and hot frameworks such as Spring and MyBatis. Beyond Java, it includes databases, computer networks, operating systems, distributed systems, and common algorithmic topics to mirror real interview scopes. The notes emphasize high-value concepts, pitfalls, and frequently asked questions, often pairing concise explanations with diagrams or sample code. ... -
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Project Based Learning
Curated list of project-based tutorials
project-based-learning is a community-curated open source repository that compiles programming tutorials focused on building real-world applications from scratch. It organizes resources by programming languages such as Python, Java, JavaScript, C++, Go, Rust, and many others. Each tutorial emphasizes practical, hands-on learning through project development rather than theoretical study. The collection spans various domains including web development, game programming, systems programming, and... -
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Slim Template
Template language to reduce the syntax to the essential parts
Slim is a Ruby template language whose goal is reduce the syntax to the essential parts without becoming cryptic. The initial design of Slim is what you see on the home page. It started as an exercise to see how much could be removed from a standard html template (<, >, closing tags, etc.). As more people took an interest in Slim, the functionality grew and so did the flexibility of the syntax. Slim will strive to maintain simplicity, but not everyone's definition of a readable syntax is the... -
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Marksheet
Free tutorial to learn HTML and CSS
...The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later. -
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MathModel
Mathematical Modeling for Graduate Students, Mathematical Modeling
MathModel is a repository dedicated to collecting and organizing resources around mathematical modeling, especially for university students preparing for modeling competitions (e.g. undergraduate and graduate levels). The content spans exemplary competition papers, algorithmic solutions, LaTeX templates, presentation slides, MATLAB tutorials, and mind maps of modeling approaches. It acts as a centralized archive where learners can access high-quality past solutions as references, borrow... -
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Monolog
Sends logs to files, sockets, inboxes, databases and web services
Monolog sends your logs to files, sockets, inboxes, databases and various web services. See the complete list of handlers below. Special handlers allow you to build advanced logging strategies. This library implements the PSR-3 interface that you can type-hint against in your own libraries to keep a maximum of interoperability. You can also use it in your applications to make sure you can always use another compatible logger at a later time. As of 1.11.0 Monolog public APIs will also accept... -
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Archbase
Open source version of "Fundamentals of Computer Architecture"
The archbase repository appears to focus on architectural patterns, foundational frameworks, or base scaffolds for building software systems (though exact intent may depend on the content). The name “archbase” suggests that it could be a baseline architecture or reference templates for projects, possibly spanning front-end, back-end, or full stacks. The repo likely provides starter code, directory structures, configuration files, core modules, and guidelines that enforce certain architectural conventions (e.g. ... -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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...Powered by the Chromium Embedded Framework (CEF), it delivers the speed and rendering power of Chromium directly through a streamlined, native Windows architecture. By skipping cross-platform frameworks and focusing purely on Windows, this browser achieves unmatched startup speeds and minimal RAM consumption. Security is top-tier: utilizing Windows-level process isolation and a robust multi-process security sandbox, every tab runs in a strictly isolated environment. It is the perfect, bloat-free browsing solution for Windows users who value speed, efficiency, and tight security.
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent... -
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TX Library
TX Library is a tiny graphics library for Win32 written in C++.
TX Library is a tiny graphics library for Win32 written in C++. It is a small sandbox for the very beginners to help them to learn basic programming principles. The documentation is currently in Russian. More info here: http://storage.ded32.net.ru/Lib/TX/TXUpdate/Doc/HTML.ru, http://ded32.net.ru/news/2011-04-03-58, http://ded32.net.ru. -
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lean-side-bussiness
Guide to building and running lean side businesses
A pragmatic guide to building and running lean side businesses, oriented toward solo developers and small teams. It collects experience-based notes, checklists, and lightweight frameworks for validating ideas quickly before investing significant time or money. The emphasis is on shipping fast, narrowing scope, and focusing on channels that predictably convert rather than chasing vanity metrics. It also covers everyday operations—pricing, payment flow, support, and simple analytics—so a side project can function like a real product from the start. ... -
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To Be Top Javaer
To Be Top Javaer - The Path to Becoming a Java Engineer
...Created and maintained by Hollis, the project compiles a wide range of Java fundamentals, advanced features, and ecosystem knowledge into one structured guide. It covers core Java concepts, JVM internals, multithreading, frameworks, databases, system design, and interview preparation. The repository is presented in a structured, progressive format so learners can follow along step by step while also diving into specific areas of interest. Its goal is to help developers not only strengthen their Java skills but also broaden their understanding of software engineering practices, distributed systems, and career development. ... -
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UnityMol
Molecular viewer and prototyping framework
!!! New website is https://unity.mol3d.tech and new releases/source code are now on Github : https://github.com/LBT-CNRS/UnityMol-Releases !!!! Implementation of a visualization prototype for molecular structures and networks using the Unity3D game engine. Implementation of numerous graphical methods as spheres, particle systems, bond, etc.. as well as our recent HyperBalls methodology (see: www.hyperballs.sf.net). -
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D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to...
