Search Results for "dynamicreports-examples" - Page 30
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Showing 3972 open source projects for "dynamicreports-examples"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Wealthfolio
A Beautiful Private and Secure Desktop Investment Tracking Application
Wealthfolio is a simple, desktop-based investment tracker. Your financial data is stored safely on your own computer Ditch the spreadsheets, forget about those pesky subscription fees, and no more worries about SaaS services playing around with your data. Forget juggling spreadsheets or compromising privacy with online apps. Choose Wealthfolio's simple, secure approach to manage your finances. Gather all your investment and savings accounts in one place. See everything at a glance, from... -
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EMBA
The firmware security analyzer
...It supports the complete security analysis process starting with firmware extraction, doing static analysis and dynamic analysis via emulation and finally generating a web report. EMBA automatically discovers possible weak spots and vulnerabilities in firmware. Examples are insecure binaries, old and outdated software components, potentially vulnerable scripts, or hard-coded passwords. EMBA is a command line tool with the possibility to generate an easy-to-use web report for further analysis. EMBA assists the penetration testers and product security teams in the identification of weak spots and vulnerabilities in the firmware image. ... -
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Return YouTube Dislike
Chrome extension to return youtube dislikes
Return YouTube Dislike is an open-source extension that returns the YouTube dislike count. Available for Chrome and Firefox as a Web Extension. Also available for other browsers as JS Userscript. Additionally, the dislike field in the YouTube API was removed on December 13th, 2021, removing any ability to judge the quality of content before watching. With the removal of dislike stats from the YouTube API, our backend switched to using a combination of scraped dislike stats, and estimates... -
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dive-into-llms
"Dive into LLMs" series of practical programming tutorials
The dive-into-llms project is an educational resource designed to provide a comprehensive introduction to large language models and their underlying concepts. It combines theoretical explanations with practical examples, guiding users through topics such as model architecture, training processes, and inference techniques. The repository is structured as a learning pathway, making it accessible to both beginners and intermediate practitioners interested in understanding how LLMs work. It includes code samples, tutorials, and conceptual breakdowns that bridge the gap between academic research and real-world implementation. ... -
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5
Claude Code Architecture Study
Research on Coding Agents
...The project focuses on breaking down the architecture of agentic systems, including how models perceive context, make decisions, and execute actions in a coding environment. It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their own agents. The framework emphasizes learning by doing, allowing users to experiment with agent behavior, prompt design, and workflow structuring. It also explores how agents interact with tools such as file systems, terminals, and APIs, giving a holistic view of real-world applications. ... -
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lemonade-stand
A handy guide to financial support for open source
lemonade-stand is an open educational project designed to teach developers how to build and run a software business through a collection of curated resources, guides, and real-world examples. Rather than being a traditional software tool, it functions as a structured knowledge base that walks users through the process of ideation, product development, marketing, monetization, and scaling. The repository is organized into sections that cover key aspects of building a startup, including pricing strategies, user acquisition, growth tactics, and operational considerations. ... -
7
Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
...The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. The material emphasizes a learning approach that combines theoretical knowledge with hands-on experimentation, often recommending interactive tools such as Jupyter notebooks to explore the ideas presented in the book. -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
...It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. The codebase emphasizes clarity and modular design so that researchers can extend the implementations or use them for experimentation and benchmarking. -
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Data Science Articles from CodeCut
Collection of useful data science topics along with articles
The Data-science repository from CodeCutTech is a curated collection of educational content focused on practical tools and workflows used in modern data science projects. Instead of providing a single software package, the repository aggregates articles, tutorials, and examples covering many topics within the data science ecosystem. The materials address areas such as MLOps, data management, project organization, testing practices, visualization techniques, and productivity tools used by data scientists. Each topic often includes references to code repositories, demonstrations, and video tutorials that show how the tools can be applied in real projects. ... -
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MLOps Zoomcamp
Free MLOps course from DataTalks.Club
...The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment tracking, deployment, monitoring, and infrastructure management. Students learn to use widely adopted tools such as MLflow, orchestration frameworks, and cloud platforms to manage machine learning pipelines. The curriculum emphasizes hands-on projects so learners gain practical experience building automated ML pipelines and maintaining deployed models. -
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ML-NLP
This project is a common knowledge point and code implementation
ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training methods, and common algorithmic techniques. ... -
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Claude Code Hooks Mastery
Master Claude Code Hooks
Claude Code Hooks Mastery is a trending community-centric GitHub repository aimed at helping developers master Claude Code hooks — customizable integration points that let users extend, automate, and augment workflows when using Claude Code, an agentic terminal coding assistant. Although the project itself doesn’t include a single coherent application, it functions as a curated collection of advanced hook examples, best practices, and coding patterns that show how to tailor Claude Code to specific use cases such as automated CI workflows, custom command triggers, and integrations with external tools. The repository is part of a larger ecosystem of Claude Code tooling that enables natural-language-driven coding tasks, and the hooks contained here help users go beyond default behaviors to solve real problems efficiently. -
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Sec-Context
AI Code Security Anti-Patterns distilled from 150+ sources
Sec-Context is a curated security research project that distills common code anti-patterns and vulnerabilities that generative AI tends to produce, presenting them as a comprehensive set of examples and secure alternatives that can be used to train or guide AI assistants and reviewers toward safer code generation. It compiles insights from over 150 industry and academic sources into structured reference documents that outline real-world security problems such as hardcoded secrets, SQL injection, cross-site scripting, command injection, weak password storage, and other frequent issues that occur when code is auto-generated without context of best practices. ... -
14
Marksheet
Free tutorial to learn HTML and CSS
...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 concepts without burying readers in boilerplate. 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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new-pac
Scientific Internet access
This repository aggregates tools, guides, and configuration files aimed at enabling network access in restrictive environments across desktop and mobile platforms. It collects client applications, one-click browser bundles, configuration examples, and references for widely used proxy and tunneling technologies. The emphasis is on approachability: instructions, packaged builds, and links are organized so non-experts can find a workable setup for their device. Because endpoint reliability and availability change over time, the project is maintained as a living resource with frequent updates and alternatives. ... -
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Deep Learning Is Nothing
Deep learning concepts in an approachable style
...It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are clear, the material extends to CNNs, RNNs, and attention mechanisms, explaining why each architecture suits particular tasks. Practical sections cover data pipelines, regularization, and evaluation, emphasizing reproducibility and debugging techniques. ... -
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Design Patterns for Humans
An ultra-simplified explanation to design patterns
Design Patterns for Humans is a developer-friendly guide that explains classic software design patterns using plain language, intuitive analogies, and succinct code examples. Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each pattern’s section typically includes intent, real-world motivation, and an example implementation to cement understanding. ... -
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OpenMLSys-ZH
Machine Learning Systems: Design and Implementation
...The repository includes scripts or tooling to keep translation synchronized with upstream changes, versioning, and possibly translation metadata (contributors, timestamp). Users can browse or clone the translated documentation to follow along with the original content, deploy examples, or understand system internals in their preferred language. -
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Model Zoo
Please do not feed the models
...The repository provides ready-to-run implementations across multiple domains, including computer vision, natural language processing, and reinforcement learning. Each model is organized into its own project folder with pinned package versions, ensuring reproducibility and stability. The examples serve both as educational tools for learning Flux and as practical starting points for building new models. GPU acceleration is supported for most models through CUDA integration, enabling efficient training on compatible hardware. With community contributions encouraged, the Model Zoo acts as a hub for sharing and exploring diverse machine learning applications in Julia. -
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Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on... -
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Learn Elixir
Learn the Elixir programming language to build functional web apps
...The repo walks you from installation on macOS, Ubuntu, and Windows to an interactive workflow using iex, Livebook, and even a one-line Docker run for a zero-install setup. It teaches Elixir’s core types and syntax with short, runnable examples, then moves into real project work using Mix for generating apps, compiling, running tasks, managing dependencies, and creating docs. You’ll learn to write idiomatic modules and functions, use the Enum module, and practice pattern matching and the pipe operator in small, composable functions. The guide also shows how to generate API docs with ex_doc, write and run tests with ExUnit and doctest, and measure coverage—forming a complete feedback loop. -
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Software Design in Haskell
Software Design in Haskell
...Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each. The examples emphasize explicit boundaries for infrastructure concerns such as persistence, logging, configuration, and external services to keep business logic clean. Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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The Magic of CSS
A CSS course to turn you into a magician
...The repository is designed to go beyond basic CSS tutorials, teaching how to harness the language for complex, responsive, and visually appealing designs. Each lesson is supported by examples and code that demonstrate real-world use cases. The project emphasizes both the technical and creative potential of CSS, showing how small details can greatly improve user experience. It has become a valuable reference for developers aiming to deepen their front-end skills. -
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Practical ASP.NET Core
Practical samples of ASP.NET Core 10 RC
practical-aspnetcore is a repository containing hundreds of sample projects, micro-applications, and code snippets across multiple versions of .NET Core (including 2.1, 3.1, 5.0, 6.0, 7.0, 8.0, 9.0, 10 RC) to illustrate real-world patterns, advanced topics, and features in .NET Core development. It is intended as a hands-on learning resource for building web APIs, middleware, authentication, real-time, microservices, etc. -
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Docker Minecraft Server
Docker image that provides a Minecraft Server for Java Edition
A Docker image and CLI utility by "itzg" for running a complete Minecraft Java Edition server in a container. It automatically downloads the latest stable game version, supports mods, plugins, snapshots, and simplifies orchestration in Docker or Docker Compose environments.
