Search Results for "dynamicreports-examples" - Page 6
Sort By:
Showing 4604 open source projects for "dynamicreports-examples"
View related business solutions-
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
1
Diagram Design
Thirteen editorial diagram types for Claude Code. Self-contained HTML
Diagram Design is a curated resource that provides guidelines and inspiration for creating clear and effective diagrams. It focuses on improving communication through visual design principles such as hierarchy, alignment, and clarity. The project includes examples and best practices for designing diagrams used in presentations, documentation, and product design. It helps users understand how to structure information visually to enhance comprehension. The repository emphasizes simplicity and readability in diagram creation. It is particularly useful for designers, developers, and educators who rely on visual explanations. ... -
2
Zygote
21st century AD
Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage. -
3
MNE-Python
Magnetoencephalography (MEG) and Electroencephalography EEG in Python
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more. -
4
Stan.jl
Stan.jl illustrates the usage of the 'single method' packages
...StanSample.jl, StanDiagnose.jl, etc., is a better choice for day-to-day use. To execute the most important method in Stan ("sample"), use StanSample.jl. Some Pluto notebook examples can be found in the repository. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
Google Kubernetes Engine (GKE) Samples
Sample applications for Google Kubernetes Engine (GKE)
...The repository is organized into multiple categories such as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. It includes both simple quickstart examples, like basic “hello world” applications, and more advanced scenarios such as migrating monolithic applications to microservices, implementing service meshes, and configuring custom autoscaling metrics. -
6
Machine Learning Foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics
...The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. The repository includes Jupyter notebooks with explanations and examples that demonstrate how these mathematical principles relate to real machine learning applications. Each section introduces theoretical concepts and then illustrates them through practical coding examples to reinforce understanding. The project is designed for students and practitioners who want to strengthen their foundational knowledge before working with more advanced machine learning frameworks. -
7
Android Open Project
A categorized collection of Android Open Source Projects
Android Open Project is a highly popular and comprehensive collection of open-source Android projects and libraries curated to help Android developers explore real-world implementations, reusable components, and best practices across the Android ecosystem. Rather than being a single app or library, this repository aggregates multiple independent projects, demos, and code examples covering a wide range of Android development topics — from UI components and network utilities to architectural patterns and common tools — serving as both educational material and reusable assets for building apps. Because it is categorized and indexed, developers can browse examples that illustrate different aspects of Android programming, whether they’re experimenting with custom views, data persistence, networking, or performance optimization. -
8
rust-by-practice
Challenging examples, exercises and projects
rust-by-practice is a hands-on, exercise-oriented learning resource for the Rust programming language that takes users beyond theory into real code challenges and practical patterns. Rather than simply listing Rust syntax or language features, it structures its content around progressively complex problems, each designed to illustrate a core Rust concept such as ownership, borrowing, lifetimes, traits, concurrency, zero-cost abstractions, and safe systems programming idioms. The repository... -
9
Bitwarden Secrets Manager SDK
Bitwarden Secrets Manager SDK
This repository houses the Bitwarden Secret Manager SDK. The SDK is written in Rust and provides a Rust API, CLI, and various language bindings. -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
10
Kvaesitso
A search-focused Android launcher
Kvaesitso is a search-focused, free and open source launcher for Android. The preferred way of installation is using the F-Droid application. That way you will always be notified about updates. Kvaesitso is available in the official F-Droid repository, but all features depending on non-foss external APIs were removed. For feature-complete builds, you can add MM20's repository. -
11
Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. -
12
stdlib
Standard library for JavaScript and Node.js
...Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the server. Everything you would expect from a modern standard library. Consistent interfaces combined with extensive documentation, examples, tests, and benchmarks. High-quality implementations so you can focus less on finding the right package and more on getting work done. -
13
Literate
Simple package for literate programming in Julia
Literate is a package for Literate Programming. The main purpose is to facilitate writing Julia examples/tutorials that can be included in your package documentation. Literate can generate markdown pages (for e.g. Documenter.jl), and Jupyter notebooks, from the same source file. There is also an option to "clean" the source from all metadata, and produce a pure Julia script. Using a single source file for multiple purposes reduces maintenance, and makes sure your different output formats are synced with each other. -
14
MockK
Mocking library for Kotlin
All you need to get started is just to add a dependency to MockK library. Simplest example. By default mocks are strict, so you need to provide some behavior. -
15
Claude Skills
Public repository for Agent Skills
Claude Skills is a public repository that showcases and serves as a collection of skills — modular, reusable packages of instructions, scripts, and resources that Claude and other compatible agents can dynamically discover and load to extend their capabilities on specialized tasks. Rather than relying on handcrafted prompts every time, Skills teach an AI agent procedural knowledge and task-specific workflows so it can apply that expertise reliably, whether the task involves document... -
16
My Python Eggs
Python Examples
...Many of the programs are designed to reduce manual workload by automating tasks such as renaming files, scanning directories, or checking system information. The repository also includes examples of more advanced concepts like multithreading, API interaction, and GUI development, providing a gradual learning curve for beginners. -
17
qxresearch-event-1
Python hands on tutorial with 50+ Python Application
...The project emphasizes practical experimentation, allowing beginners to modify and extend the example programs to explore new ideas. Many of the examples are accompanied by video explanations that guide learners through the code and demonstrate how the programs work in practice. -
18
Terminator
multiple GNOME terminals in one window
Terminator was originally developed by Chris Jones in 2007 as a simple, 300-ish line Python script. Since then, it has become The Robot Future of Terminals. Originally inspired by projects like quadkonsole and gnome-multi-term and more recently by projects like Iterm2, and Tilix, It lets you combine and recombine terminals to suit the style you like. If you live at the command line or are logged into 10 different remote machines at once, you should definitely try out Terminator. -
19
OpenRazer
Open source driver and user-space daemon to control Razer lighting
A collection of Linux drivers for Razer devices - providing kernel drivers, DBus services and Python bindings to interact with the DBus interface. -
20
three.js
JavaScript 3D library
...A WebGL renderer is created for the scene and the camera, with an added viewport to the document.body element. Finally, the cube is animated within the scene for the camera. A plethora of examples can be found in the project’s website (https://threejs.org/) which use Canvas 2D, SVG and CSS3D renderers that the library also provides. -
21
DOSBox Staging
DOSBox Staging is a modern continuation of DOSBox
DOSBox Staging is a modern continuation of DOSBox, your existing configurations will continue to work, and you will have access to many advanced features. DOSBox Staging picks the best shader based on the emulated video mode and your host resolution, from 720p to 4K. -
22
go-mitmproxy
mitmproxy implemented with golang
...Parses HTTP/HTTPS traffic and displays traffic details via a web interface. Supports a plugin mechanism for easily extending functionality. Various event hooks can be found in the examples directory. HTTPS certificate handling is compatible with mitmproxy and stored in the ~/.mitmproxy folder. If the root certificate is already trusted from the previous use of mitmproxy, go-mitmproxy can use it directly. Map Remote and Map Local support. -
23
Stable Diffusion Version 2
High-Resolution Image Synthesis with Latent Diffusion Models
...The repository provides code for training and running Stable Diffusion-style models, instructions for installing dependencies (with notes about performance libraries like xformers), and guidance on hardware/driver requirements for efficient GPU inference and training. It’s organized as a practical, developer-focused toolkit: model code, scripts for inference, and examples for using memory-efficient attention and related optimizations are included so researchers and engineers can run or adapt the model for their own projects. The project sits within a larger ecosystem of Stability AI repositories (including inference-only reference implementations like SD3.5 and web UI projects) and the README points users toward compatible components, recommended CUDA/PyTorch versions. -
24
DeepTutor
AI-Powered Personalized Learning Assistant
DeepTutor is an AI-powered tutoring and learning assistant framework designed to automatically teach, explain, and reinforce academic or technical concepts in depth according to a learner’s specific needs. It goes beyond simple Q&A by constructing multi-stage educational narratives, breaking down complex topics into sequenced “lesson steps,” and offering prompts, examples, and exercises that build on each other in a logical curriculum. The core architecture combines LLM-based reasoning with structured pedagogy modules so that explanations accommodate different learning styles and address misconceptions in follow-up responses. DeepTutor supports retrieval of external references, definitions, and diagrams so responses are grounded in authoritative content and not just generative text, and it includes internal checks to ensure accuracy and conceptual consistency. -
25
Fairlearn
A Python package to assess and improve fairness of ML models
Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. An AI system can behave unfairly for a variety of reasons. In Fairlearn, we define whether an AI system is behaving unfairly in terms of its impact on people – i.e., in terms of harm. Fairness of AI systems is about more than simply running lines of code. In each use case, both societal and technical aspects shape who might be harmed by AI systems and how. ...
