Open Source BSD Education Software - Page 4
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Education Software for BSD
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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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Outplacement, Executive Coaching and Career Development | CareermindsBy helping to avoid the potential risks of RIFs or layoffs through our global outplacement services, companies can move forward with their goals while preserving their internal culture, employer brand, and bottom lines.
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Web-CAT
Open-source automated grading of programming assignments
Web-CAT is a plug-in based web application for automatically grading programming assignments in many programming languages. This project also provides Eclipse plugins for electronic submission and feedback services directly from the Eclipse IDE. We now use github for source code control (https://github.com/web-cat), although all file releases are still provided here through SourceForge. The CVS repository here is for archival purposes only.">
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Digital Logic Design
Digital Circuits Design and Simulation
DLD V 2.0 Released Digital Logic Design is a Software tool for designing and simulating digital circuits. It provides digital parts ranging from simple gates to Arithmetic Logic Unit. You may start your circuit from simple gates and flipflops and keep on converting them into ICs. These ICs, later on, may be incorporated into other circuits to built more complex circuits like CPU. You may even use SOP expressions to generate digital circuits in IC form. You can use this software to design Combinational, Synchronous and Asynchronous Sequential Circuits. The circuit working can be analyzed by using output parts like LEDs, Seven Segment Display as well as CRT and digital Oscilloscope all provided in the software. This Software may be used by professionals, hobbyists and students alike. The teachers may incorporate this software in their courses like Digital Logic and Computer Design, Computer Architecture, Computer Organization and Embedded Systems.">
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Seagull is a multi-protocol traffic generator. Especially targeted towards IMS, Seagull supports Diameter (RFC3588 and all applications) over TCP/SCTP and IPv4/IPv6 , TCAP (over SS7 or Sigtran), XCAP over HTTP and Radius.
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TESTIMAGES
Testing images for scientific purposes
The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical patterns). Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.">
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Download the most trusted enterprise browserChrome Enterprise is ideal for businesses of all sizes, IT professionals, and organizations looking for a secure, scalable, and easily managed browser solution that supports remote work, data protection, and streamlined enterprise operations.
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DSpace
Open Source "turn-key" institutional repository application
Open Source Digital Asset Management system that enables services for access, provision, stewardship and re-use of digital assets with a focus on educational and research materials For Support, please see: https://wiki.lyrasis.org/display/DSPACE/Support RELEASES: The most recent releases are now distributed via GitHub: https://github.com/DSpace/DSpace/releases MAILING LISTS: Mailing lists have all been moved to Google Groups: https://wiki.lyrasis.org/display/DSPACE/Mailing+Lists -
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e-foto
A free GNU/GPL educational digital photogrammetric workstation
A free GNU/GPL educational digital photogrammetric workstation The e-foto Project aims to deliver a comprehensive and accessible digital photogrammetric workstation by offering a complete implementation of the software as free and open-source under the GNU General Public License (GPL). e-foto is equipped with photogrammetric functionalities that empower the creation of topographic tridimensional mapping projects. It supports the utilization of aerial photogrammetric images captured by both analog cameras and digital sensors, enabling professionals to harness diverse data sources for their mapping endeavors. You can access our website at http://www.efoto.eng.uerj.br/ where you will find comprehensive tutorials, thus ensuring a smooth and efficient learning experience. -
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Client/server software, human language dictionary databases, and tools supporting the DICT protocol (RFC 2229).
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Finanx 12c
Financial Calculator
The Finanx 12c is a free software that mimics the HP-12C financial calculator. This software was developed for educational purposes. IT'S NOT RECOMMENDED using this calculator for professional calculations. If you find any bugs, please, let me know. Click "Bugs" in the menu bar to report bugs found. -
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30 Days of Elixir
A walk through the Elixir language in 30 exercises
30-days-of-elixir is an educational repository created by Josh Adams (seven1m) designed to teach the fundamentals of the Elixir programming language through a structured, daily learning approach. The project provides a series of exercises and examples meant to guide learners from the basics of Elixir syntax to more advanced functional programming concepts. Each day introduces new material in a concise and practical format, encouraging hands-on experimentation and gradual mastery of the language. The content covers essential topics such as pattern matching, recursion, data structures, processes, and message passing—core principles that define Elixir’s design. This incremental learning format allows developers to build confidence and understanding while maintaining consistent progress. As one of the early and influential resources in the Elixir community, 30-days-of-elixir remains a valuable guide for self-learners and newcomers to the functional programming paradigm. -
viewneo - Smart software for digital advertising boardsviewneo is a user-friendly, cloud-based solution that allows companies of all sizes to set up digital signage
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33 JS Concepts
33 JavaScript concepts every developer should know
33-js-concepts is a curated collection of essential JavaScript concepts that every developer should understand to strengthen their knowledge of the language. The project was originally inspired by an article by Stephen Curtis and has since grown into a community-driven learning resource. It serves as a roadmap for developers to review and master core principles such as closures, promises, prototypes, event loops, and other critical topics. While not a strict curriculum, it provides a structured path for deeper study and practical learning. The repository also encourages contributions, including personal notes, recaps, and translations, making it accessible to developers worldwide. Recognized as one of GitHub’s top open source projects in 2018, it remains a widely used reference for improving JavaScript skills. -
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AI Researcher
An autonomous AI researcher
AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time. -
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Hello Git & GitHub
Tutorial repository designed to teach how to use the Git vc system
Hello-Git is a tutorial repository designed to teach how to use the Git version-control system and the GitHub platform from the ground up, aimed at beginners. The course spans around 5 hours of instruction and covers more than 25 Git commands along with GitHub workflows, installation/configuration, terminal usage, branching, merging, collaboration, and authentication. It is structured to introduce learners not only to the syntax of Git commands but also to development workflows such as feature branches, pull requests, and remote repositories. The content is hosted in a GitHub repository, reinforcing the practical aspect of versioning while you learn. It also includes supplemental materials like a book (in print and e-book) to complement the tutorials. This makes it highly useful for developers entering the open-source ecosystem or those needing a solid foundation in Git/GitHub workflow. -
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JSCamp InfoJobs
Content and exercises fromJSCamp InfoJobs
JSCamp InfoJobs is the companion repository for JSCamp InfoJobs, an intensive full-stack JavaScript bootcamp in Spanish designed to take students from fundamentals to advanced topics. It is organized into numbered modules like 00-html-css, 01-javascript, 02-react, 03-router-and-zustand, 04-node, 05-typescript, 06-inteligencia-artificial, 07-sql, 08-ci-cd, and 09-docker, mirroring the curriculum of the bootcamp.The README explains that students will build a complete project step by step throughout the bootcamp, applying each module’s lessons to a single real-world application, which is ideal for portfolio building. The repo also links to jscamp.dev, where the videos and course materials are hosted, and explains that access is free, with an optional paid certificate that includes extra support like CV review, exercise feedback, and exclusive workshops. Detailed installation requirements are listed (modern browser, VS Code, Live Preview extension, Node.js 20+, Git, Docker, etc. -
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LLM Course
Course to get into Large Language Models (LLMs)
LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. Evaluation is treated as a first-class topic, with examples of automatic and human-in-the-loop methods to catch regressions and verify quality beyond simple loss values. By the end, students have a mental model and a practical toolkit for iterating on datasets, training configs, etc. -
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LLM101n
LLM101n: Let's build a Storyteller
LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a small GPT-style model end to end. The repo often complements explanations with runnable notebooks or scripts, encouraging experimentation and modification. By the end, the focus is less on polishing a production system and more on internalizing how LLM components interact to produce coherent text. -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers. -
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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. It’s a valuable resource for Java developers preparing for interviews, system design discussions, or those looking to strengthen their ability to read and learn from production-level code. -
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. This project bridges the gap between textbook learning and hands-on coding, making it a valuable educational tool for students, researchers, and practitioners. -
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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 process, you go and practice and land your dream job. This repository has practical content that covers all phases of a technical interview, from applying for a job to passing the interviews to offer negotiation. Technically competent candidates might still find the non-technical content helpful. Also, existing resources focus mainly on algorithm questions and lack coverage for more domain-specific and non-technical questions. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the original series, enhanced with detailed explanations, formula derivations, and optimized solutions. In July 2023, work on the second edition was announced, which expands the project with updated content, new problems inspired by recent big-tech interviews, and introductions to modern machine learning techniques such as XGBoost, CNNs, RNNs, and LSTMs. This collection serves both as a historical record of algorithm problem-solving and as a living resource for programmers preparing for interviews. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike. -
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raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry
This project provides a step-by-step educational guide on building a simple operating system kernel entirely from scratch, specifically targeting the Raspberry Pi 3. The operating system, referred to as RPi OS, is inspired by the Linux kernel but remains intentionally minimal to focus on clarity and teaching fundamental OS concepts. 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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simple-java-maven-app
For an introductory tutorial on how to use Jenkins
simple-java-maven-app is a reference repository created for the Jenkins tutorial on building a Java application with Maven. It contains a minimal Java program that prints “Hello world!” and includes unit tests to validate functionality, with test results exported in JUnit XML format. The repository provides an example that demonstrates how to configure a Jenkins Pipeline for building and delivering applications. It also includes scripts that define commands executed in pipeline stages, showcasing automation in continuous integration and delivery (CI/CD). This project is designed as an entry-level resource for developers learning Jenkins. By following the tutorial, users gain practical experience in setting up pipelines and integrating testing with Maven. -
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Koha Library Management System
Free & Open Community Edition Server in a Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a Library Management System live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with koha wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address: https://koha.local Staff Website Address: https://koha.local:4430 Staff Username: staff Staff Password: change_this from any PC on your Local Network. For better performance, Increase the CPU Count & Memory in the VM's Settings, as available on the physical machine. Also, read the koha guidelines, given on the Wiki Page of this site, for choosing the right hardware resources. Backup the system regularly, to avoid any issues, as in the video. Google Search helps in finding more about Koha. -
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Automatically geocode pictures from your camera and a GPS track log. Following Google code closure the only official webpage is (doc, support, code) : https://github.com/notfrancois/GPicSync