Search Results for "dynamicreports-examples" - Page 5
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Showing 3963 open source projects for "dynamicreports-examples"
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Agentic RAG for Dummies
A modular Agentic RAG built with LangGraph
...Instead of relying on static retrieval pipelines, the system shows how agents can orchestrate retrieval, reasoning, and tool usage in a more flexible decision loop. The repository provides practical examples and tutorials that guide developers through building agentic RAG systems using modern AI frameworks. These examples illustrate how agents can access knowledge bases, retrieve documents, analyze them, and refine their queries during multi-step reasoning processes. The repository focuses on simplifying complex architectural concepts so that beginners can understand how agentic retrieval systems are constructed. -
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SHAP
A game theoretic approach to explain the output of ml models
...Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark tree models. To understand how a single feature effects the output of the model we can plot the SHAP value of that feature vs. the value of the feature for all the examples in a dataset. Since SHAP values represent a feature's responsibility for a change in the model output, the plot below represents the change in predicted house price as RM (the average number of rooms per house in an area) changes. -
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fullPage.js
Create beautiful fullscreen scrolling websites fast and easy
...It also provides touch support designed for mobile devices and touch screen computers. fullPage.js is fully supported by a great community, has good documentation and offers plenty of examples to get you started quickly. See these examples on the official website: http://alvarotrigo.com/fullPage/ -
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RTorrent BitTorrent Client
rTorrent BitTorrent client
The rTorrent bittorrent client uses ncurses and is ideal for use with tmux, screen or dtach. Alternatively, version 0.9.7+ has a built-in daemon mode disabling the user interface, so you can only control it via XMLRPC. It supports saving of sessions, allows the user to add/remove torrents, and much more. -
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SetFit
Efficient few-shot learning with Sentence Transformers
SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples. -
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Glamorous Toolkit
Glamorous Toolkit is the Moldable Development environment
Programming, exploring data, browsing APIs, knowledge management, log investigations, domain modeling are all part of the same continuum. They require dedicated tools, but those tools can come to you in an integrated experience that is specific to your context. This is the essence of Moldable Development. And this is what Glamorous Toolkit makes practical. Glamorous Toolkit is the Moldable Development environment. It empowers you to make systems explainable through experiences tailored for... -
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Bumblebee
Pre-trained Neural Network models in Axon
Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks. You can then tweak the code and deploy it. First, add Bumblebee and EXLA as dependencies in your mix.exs. EXLA is an... -
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Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
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Machine Learning Tutorials Repository
Dive deep into the realms of Machine Learning and other topics
The Machine Learning Tutorials Repository is a comprehensive collection of resources, examples, and implementations designed to help users understand and apply machine learning concepts. It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. ... -
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Python Programming Hub
Learn Python and Machine Learning from scratch
...The repository emphasizes hands-on learning by demonstrating real programming tasks such as data manipulation, statistical analysis, visualization, and automation. It also includes examples of commonly used libraries such as NumPy, Pandas, and other tools used in data science workflows. -
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A to Z of Networking for DevOps
Learn Networking from A to Z at one place with realtime examples
The A to Z of Networking for DevOps repository is a comprehensive, beginner-friendly guide designed to help DevOps practitioners and anyone new to networking understand core concepts through practical explanations and real-world examples. It structures networking fundamentals from basic IP addressing and subnetting all the way through modern container and cloud networking topics like Docker and Kubernetes, making it valuable for learners at different stages of their DevOps journey. The guide breaks topics down into clear, digestible markdown files that include simple definitions, common use cases, and essential command-line examples, which makes the material approachable even if you are just starting out. ... -
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MangoHud
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU load and more. mangoplot is a plotting script that is shipped with MangoHud: on a given folder, it takes each log file, makes a 1D heatmap of its framerates, then stacks the heat maps vertically to form a 2D graph for easy visual comparison between benchmarks. -
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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. -
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Office Docs PowerShell
PowerShell Reference for Office Products
This repository aggregates documentation, examples, and cmdlet references for PowerShell modules that manage Microsoft 365 and Office services. It collects guidance for admins on tasks such as Exchange Online mail flow, SharePoint site provisioning, Teams configuration, and tenant-level policy settings—often including parameter examples, common scenarios, and troubleshooting notes. -
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LangChain
⚡ Building applications with LLMs through composability ⚡
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. -
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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. -
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MCProtocolLib
A library for communication with a Minecraft client/server
MCProtocolLib is a simple library for communicating with Minecraft clients and servers. It allows developers to build custom bots, clients, or servers for Minecraft with ease. -
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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. -
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Laravel Terminal
Runs artisan command in web application
Runs artisan command in web application. -
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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. ... -
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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. -
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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. -
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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. -
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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. -
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openFrameworks
Cross platform toolkit for creative coding in C++
openFrameworks is a C++ toolkit for creative coding. docs have some documentation around OF usage, per platform things to consider, etc. You should definitely take a look in there; for example, if you are on OSX, read the osx.md. apps and examples are where projects go -- examples contain a variety of tasks that show you how to use OF, and apps is where your own projects will go. libs contain the libraries that OF uses, including the open frameworks core itself. addons are for additional functionality that's not part of the core. export is for DLLs and dylibs that need to be put in each compiled project. ...
