Search Results for "tutorial" - Page 4
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Showing 565 open source projects for "tutorial"
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Fish Skin AI Knowledge Base
Programmer Fish Skin's AI Resource Guide
Fish Skin AI Knowledge Base is a comprehensive open knowledge base and tutorial collection that helps developers quickly learn, evaluate, and apply modern AI technologies, especially in the context of “vibe coding” and practical AI product development. The project curates structured learning paths covering model selection, AI coding tools, agent platforms, prompt engineering, and full-stack AI application workflows. -
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Marksheet
Free tutorial to learn HTML and CSS
MarkSheet is a beginner-friendly curriculum for learning HTML and CSS from first principles, organized as a readable online handbook. It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate... -
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Servant
Haskell DSL for describing, serving, querying, mocking web apps
...From a single API specification, developers can derive server implementations, client libraries, documentation, and more—ensuring consistency and type safety across the stack. We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. The core documentation can be found here. Other blog posts, videos, and slides can be found on the website. The core documentation can be found here. Other blog posts, videos and slides can be found on the website. -
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Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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Algebraic graphs
Algebraic graphs
Alga is a library for algebraic construction and manipulation of graphs in Haskell. See this Haskell Symposium paper and the corresponding talk for the motivation behind the library, the underlying theory and implementation details. We can give semantics to the constructors in terms of the pair (V, E) of graph vertices and edges. Alga can handle graphs comprising millions of vertices and billions of edges in a matter of seconds, which is fast enough for many applications. We believe there is... -
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pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build. Requires installed python3 with PyTorch and torch-vision. -
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psychmeta
Psychometric meta-analysis toolkit
...Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta’s functions and workflows. psychmeta is hosted on both CRAN and GitHub. Documentation for psychmeta’s functions is available in the package’s PDF manual. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. -
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GenAI Agents
Implementations for various Generative AI Agent techniques
GenAI Agents is a large, tutorial-driven repository that teaches you how to design, build, and experiment with generative AI agents. It spans a spectrum from simple conversational bots and basic question-answering agents to complex multi-agent systems that coordinate on research, education, business workflows, and creative tasks. The implementations leverage modern frameworks such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and more, showing how each can be wired into realistic agent workflows. ... -
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DNSControl
Synchronize your DNS to multiple providers from a simple DSL
DNSControl is an opinionated platform for seamlessly managing your DNS configuration across any number of DNS hosts, both in the cloud or in your own infrastructure. It manages all of the domains for the Stack Overflow network, and can do the same for you! Want to jump right in? Follow our quick start tutorial on a new domain or migrate an existing one. Read the language spec for more info. You can also view a list of all topics. Take advantage of the advanced features. Use macros and variables for easier updates. Upload your zones to multiple DNS providers. We make it easy to contribute by using GitHub, you can make code changes with confidence thanks to extensive integration tests. ... -
Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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qxresearch-event-1
Python hands on tutorial with 50+ Python Application
qxresearch-event-1 is an open-source educational repository that provides a collection of lightweight Python applications designed to demonstrate programming concepts and artificial intelligence techniques in simple and accessible examples. The repository contains dozens of small programs, many implemented with minimal lines of code, covering topics such as machine learning, graphical user interfaces, computer vision, and API integration. Each example is designed to illustrate a single... -
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Hello-Agents
Building an Intelligent Agent from Scratch
Hello Agents is an open educational project designed to teach developers how to understand, design, and build AI-native agents from the ground up through structured tutorials and practical examples. The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step... -
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Self Hosting Guide
Learn all about locally hosting (on premises & private web servers)
...Throughout the guide, best practices for hardening, maintenance, and uptime are emphasized, helping users avoid common pitfalls and adopt resilient architectures. Rather than being a single tutorial, it aggregates a wide range of resources, project recommendations, deployment strategies, and platform comparisons to help people make informed decisions about what to self-host and how to do it responsibly. -
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Realtime Chat Application
Build and deploy a real time chat application
This full-stack tutorial project shows how to build and deploy a real-time chat app using React on the client and Node/Express with Socket.io on the server. It covers the mechanics of establishing WebSocket connections, broadcasting and receiving messages, and maintaining active user rooms. The repository includes scripts and instructions to spin up both client and server quickly so you can experiment locally. -
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TIL
Today I Learned
...Topics span everyday developer concerns: shell one-liners, Git incantations, editor tricks, language quirks, and small debugging patterns that save time. Because each note is atomic, the collection grows organically without becoming a tangled tutorial or book; readers can dip in anywhere and learn something useful in a minute. The repo format also encourages community contributions and personal forking, making it a template for teams to build their own shared knowledge base. Over years, it becomes both a reference and a record of the author’s learning journey, with the git history revealing how practices evolved. -
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Hagenberg Thesis Document Collection
Hagenberg LaTeX Thesis Template
...The document classes are immediately usable and convenient to customize. The main document, HgbThesisTutorialEN or HgbThesisTutorialDE, serves both as a template and tutorial for authoring a bachelor, master, or diploma thesis with LaTeX. Developed initially as an internal standard at the Upper Austria University of Applied Sciences in Hagenberg, this setup has become popular at several other (mostly German-speaking) institutions over the last few years. -
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GraphQL Java
GraphQL Java implementation
GraphQL Java implementation. It requires a little Spring and Java knowledge. GraphQL is a query language to retrieve data from a server. It is an alternative to REST, SOAP or gRPC. One very important property of GraphQL is that it is statically typed: the server knows exactly the shape of every object you can query and any client can actually "introspect" the server and ask for the "schema". The schema describes what queries are possible and what fields you can get back. (Note: when we refer... -
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Responsive Framework
Easily make Flutter apps responsive. Automatically adapt UI
Responsive Framework adapts your UI to different screen sizes automatically. Create your UI once and have it display pixel-perfect on mobile, tablet, and desktop! Supporting multiple display sizes often means recreating the same layout multiple times. Under the traditional Bootstrap approach, building responsive UI is time-consuming, frustrating and repetitive. Furthermore, getting everything pixel-perfect is nearly impossible and simple edits take hours. AutoScale shrinks and expands your... -
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shot-scraper
A command-line utility for taking automated screenshots of websites
...The project is deeply integrated with automation workflows: examples show it running in scheduled jobs, GitHub Actions, and bots that publish screenshots to social media or use them in docs. It ships with detailed documentation, a tutorial, and a template repository that lets you spin up an automated screenshot pipeline. -
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Python Code Tutorials
The Python Code Tutorials
...The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. The repository is organized into thematic directories that group tutorials by topic, allowing learners to navigate easily between areas such as ethical hacking, multimedia processing, or machine learning. -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
Kaggle Solutions is an open-source repository that compiles winning solutions, insights, and educational resources from hundreds of Kaggle data science competitions. The repository acts as a knowledge base for competitive machine learning by collecting solution write-ups, discussion threads, code notebooks, and tutorial resources shared by top Kaggle participants. Each competition entry typically includes information about the dataset, evaluation metrics, modeling strategies, and techniques used by high-ranking competitors. The repository also highlights important machine learning concepts such as feature engineering, cross-validation strategies, ensemble modeling, and post-processing methods commonly used in winning solutions. ... -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
Made-With-ML is an open-source educational repository and course designed to teach developers how to build production-grade machine learning systems using modern MLOps practices. The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets,... -
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AI Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications
The AI Engineering Hub repository is a large open-source collection of hands-on projects, tutorials, and real-world AI engineering resources designed to help developers learn and build with modern AI technologies, especially large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems. It includes more than 90 production-ready projects across skill levels, organized into beginner, intermediate, and advanced categories to guide users progressively from simple... -
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100 proyectos de JavaScript
100 JavaScript projects with code and videos for free
100 proyectos de JavaScript is a large collection of 100 JavaScript projects, each with source code and an accompanying video tutorial, offered entirely for free. The repository is tied to the website javascript100.dev, which presents the projects as a structured learning path so learners can progressively build their skills through practice.Each project lives in its own numbered folder (for example, 01-tinder-swipe), and the README explains how to run them via the VS Code Live Preview extension, making it easy for beginners to get them running without complex tooling. ... -
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Mistral Finetune
Memory-efficient and performant finetuning of Mistral's models
...It supports function-calling style datasets (via "messages" keys) as well as plain text formats, with guidelines on formatting, tokenization, and vocabulary extension (e.g. extending vocab to 32768 for some models) before finetuning. The project also provides tutorial notebooks (e.g. mistral_finetune_7b.ipynb) to walk through the steps. -
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mlpack
mlpack: a scalable C++ machine learning library
...Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed.
