Search Results for "dynamicreports-examples" - Page 3
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Showing 4604 open source projects for "dynamicreports-examples"
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Sentry SDK for Java and Android
A Sentry SDK for Java, Android and other JVM languages
Bad software is everywhere, and we're tired of it. Sentry is on a mission to help developers write better software faster, so we can get back to enjoying technology. If you want to join us Check out our open positions. -
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PaddleNLP
Easy-to-use and powerful NLP library with Awesome model zoo
PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow And process-wide text area API: Support for the loading of rich Chinese data sets Dataset API, can flexibly and efficiently complete data pretreatment Data API, Preset 60 + pre-training word vector Embedding API, Providing 100 + pre-training model Transformer API Wait, the efficiency of NLP task modeling can be greatly improved. -
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Modern C++ Programming
Modern C++ Programming Course
Modern-CPP-Programming is a teaching repository that introduces practical C++11/14/17 features through focused examples, exercises, and notes. It walks through core language topics like RAII, move semantics, templates and metaprogramming, lambdas, and smart pointers with an eye toward real-world patterns. Concurrency and performance enter the picture via threads, atomics, futures, and memory considerations, helping learners reason about correctness and speed. -
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Sodium
A Minecraft mod designed to improve frame rates
Sodium is a powerful rendering engine and optimization mod for the Minecraft client which improves frame rates and reduces micro-stutter while fixing many graphical issues in Minecraft. A Minecraft mod designed to improve frame rates and reduce micro-stutter. -
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sarama
Sarama is a Go library for Apache Kafka 0.8, and up
Sarama is an MIT-licensed Go client library for Apache Kafka version 0.8 (and later). API documentation and examples are available via godoc. Sarama provides a “2 releases + 2 months” compatibility guarantee: we support the two latest stable releases of Kafka and Go, and we provide a two month grace period for older releases. This means we currently officially support Go 1.12 through 1.14, and Kafka 2.1 through 2.4, although older releases are still likely to work. -
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CoreCycler
Script to test single core stability
A PowerShell script to test the stability of single-core loads. Modern CPUs can adjust their CPU frequency depending on their load, and have mechanisms that allow them to clock higher. With this script, you can test the stability for each core, which helps you to validate if your Ryzen "PBO" resp. "Curve Optimizer" settings are actually stable. It also works to test Intel's "Active-Core" Turbo-Boost settings. -
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wxWidgets
Cross-Platform C++ GUI Library
wxWidgets is a C++ library that lets developers create applications for Windows, macOS, Linux, and other platforms with a single code base. It has popular language bindings for Python, Ruby, Lua, Perl, and several other languages, and unlike other cross-platform toolkits, wxWidgets gives applications a truly native look and feel because it uses the platform's native API rather than emulating the GUI. It's also extensive, free, open-source, and mature. -
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TensorFlow Datasets
TFDS is a collection of datasets ready to use with TensorFlow,
TensorFlow Datasets is a collection of datasets ready to use, with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed as tf.data. Datasets , enabling easy-to-use and high-performance input pipelines. To get started see the guide and our list of datasets. -
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Android FFmpeg
An Android FFmpeg audio and video development tutorial
LearnFFmpeg is an educational repository that provides structured resources for understanding and mastering FFmpeg and multimedia processing concepts. It includes tutorials, command examples, and explanations of core concepts such as encoding, decoding, and streaming workflows. The project is designed to guide users from basic usage to more advanced topics, helping them build practical knowledge of FFmpeg operations. It often includes real-world examples and scenarios that demonstrate how FFmpeg can be applied in production environments. ... -
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Rekado
Payload launcher and serial number checker for Nintendo Switch
Payload launcher is written in Kotlin for Nintendo Switch. The application doesn't require Root on your device. -
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Claude Cookbooks
A collection of notebooks/recipes showcasing ways of using Claude
...Designed with accessibility in mind, the examples are primarily written in Python but can be adapted to other languages. -
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VulkanMod
Vulkan renderer mod for Minecraft
This is a fabric mod that introduces a brand new Vulkan-based voxel rendering engine to Minecraft Java in order to both replace the default OpenGL renderer and bring performance improvements. -
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gRPC Elixir
An Elixir implementation of gRPC
The Gun library doesn't have a full 2.0 release yet, so we depend on :grcp_gun 2.0.1 for now. This is the same as :gun 2.0.0-rc.2, but Hex doesn't let us depend on RC versions for releases. Generate Elixir code from the proto file as protobuf-elixir shows(especially the gRPC Support section). Implement the server-side code and remember to return the expected message types. You can start the gRPC server as a supervised process. First, add GRPC.Server.Supervisor to your supervision tree. -
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Neovim 99
Neovim AI agent done right
...Rather than a polished end-product, this repo serves as a playground for testing, iterating, and documenting workflows that integrate AI agents directly into everyday coding tools, emphasizing rapid feedback loops, automation, and minimal friction. The project often includes configuration files, scripts, and examples that show how to coerce modern AI assistants into productive roles within editors, plugins, and terminal workflows, with a focus on “no excuses” productivity. It blends examples from Neovim, agent automation, and developer ergonomics to illustrate how AI can be baked into existing environments. -
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machine_learning_examples
A collection of machine learning examples and tutorials
...Many of the examples are accompanied by tutorials and educational materials that explain how the algorithms work and how they can be applied in real-world projects. The code is organized into small independent experiments so that learners can explore specific algorithms or techniques without needing to understand the entire codebase. -
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Django Bootstrap Modal Forms
A Django plugin for creating AJAX driven forms in Bootstrap modal
...This repository includes Dockerfile and docker-compose.yml files so you can easily setup and start to experiment with django-bootstrap-modal-forms running inside of a container on your local machine. Any changes you make in bootstrap_modal_forms, examples and test folders are reflected in the container (see docker-compose.yml) and the data stored in the sqlite3 database are persistent even if you remove the stopped container. Note that the master branch contains Bootstrap 4 examples, while the bootstrap5-examples branch contains Bootstrap 5 examples. To experiment with Bootstrap 5 examples simply switch the branch. -
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AI-Tutorials/Implementations Notebooks
Codes/Notebooks for AI Projects
...The codebase acts as a hands-on learning resource, allowing users to experiment with new frameworks, architectures, and machine learning workflows through guided examples. -
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LearnOpenCV
C++ and Python Examples
...The repository supports beginners and advanced practitioners by offering reproducible code that demonstrates real-world computer vision techniques. Many examples integrate popular frameworks like PyTorch, OpenCV, and ONNX to reflect modern AI workflows. Overall, LearnOpenCV functions as a comprehensive applied learning hub for developers building expertise in computer vision and AI. -
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G-Helper
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally
Small and lightweight Armoury Crate alternative for Asus laptops offering almost same functionality without extra load and unnecessary services. Works with all popular models, such as ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, Flow Z13, DUO, TUF Series, Strix or Scar Series, ProArt, Vivobook, Zenbook, ROG Ally or Ally X and many more. -
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FramePack
Lets make video diffusion practical
...It’s useful for diffusion and generative models that learn from sequential image datasets, as well as classical pipelines that batch many related frames. With a simple API and examples, it invites experimentation on tradeoffs between compression, fidelity, and speed. -
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picom
A lightweight compositor for X11
picom is a compositor for X and a fork of Compton. A lightweight compositor for X11. -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. ... -
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ESP-IDF
Espressif IoT Development Framework
...It provides toolchains, APIs, components, sample code, and workflows for building embedded IoT firmware, offering support for Wi‑Fi, Bluetooth, power management, and peripheral integration. As well as the esp-idf-template project mentioned in Getting Started, ESP-IDF comes with some example projects in the examples directory. Install host build dependencies mentioned in the Getting Started guide. Run the export script on Windows (export.bat) or source it on Unix (source export.sh) in every shell environment before using ESP-IDF. -
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Free LLM API resources
A list of free LLM inference resources accessible via API
...It collects a wide range of resources including hosted free-tier LLM APIs, documentation links, public model endpoints, open datasets useful for training or evaluation, tooling integrations, and examples showing how to interact with these services in real applications. This list helps developers, hobbyists, and researchers quickly find models they can use for prototyping, experimentation, or production proofs-of-concept without needing paid subscriptions, reducing friction for innovation. The repository typically categorizes offerings by provider, type of service (text, embeddings, vision), availability conditions (open without key, free tier with key), and usage examples to make discovery and adoption easier. -
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Basic Computer Games
An updated version of the classic "Basic Computer Games" book
Basic Computer Games is a modern revitalization of the classic “Basic Computer Games” book’s collection of games, ported and expanded into various modern, memory-safe and scripting languages. It includes illustrative code examples of many classic games (e.g. Blackjack, Bowling) in multiple languages, with the goal of making the historical games accessible and educational in safe modern environments. Definitely use the most recent versions and features of the target language, but also try to keep the code samples simple and explainable – the goal is to teach programming in the target language, not necessarily demonstrate the cleverest one-line tricks, or big system "enterprise" coding techniques designed for thousands of lines of code.
