Search Results for "dynamicreports-examples" - Page 55
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Showing 3974 open source projects for "dynamicreports-examples"
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Animated Text Kit
A flutter package to create cool and beautiful text animations
A flutter package that contains a collection of some cool and awesome text animations. Recommended package for text animations in Codemagic's Ebook, "Flutter libraries we love". Try out our live example app. -
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QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
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CampX
CampX: Discover and share the best campgrounds across India
CampX is a web application designed to help users discover and share campgrounds from around the world. Users can browse through a collection of campgrounds, read reviews, and contribute by adding their own. Each user has control over the campgrounds they add, with the ability to edit or delete them. The platform encourages a community-driven approach to exploring the great outdoors. -
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OEditorX
Online EditorX
OEditorx is an open-source project - A user-friendly online editor tailored for HTML, CSS, and JavaScript. This editor is designed to empower you to write and immediately test your front code. It allows you to experiment with various styles, layouts, and interactive elements in real-time, all through an intuitive interface. Whether you are in the process of creating a website, prototyping an application, or simply exploring the potential of these technologies, our editor serves as the ideal... -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
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Advanced Solutions Lab
This repos contains notebooks for the Advanced Solutions Lab
This repository contains Jupyter notebooks meant to be run on Vertex AI. This is maintained by Google Cloud’s Advanced Solutions Lab (ASL) team. Vertex AI is the next-generation AI Platform on the Google Cloud Platform. The material covered in this repo will take a software engineer with no exposure to machine learning to an advanced level. -
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KerasTuner
A Hyperparameter Tuning Library for Keras
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search... -
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CML
Continuous Machine Learning | CI/CD for ML
Continuous Machine Learning (CML) is an open-source CLI tool for implementing continuous integration & delivery (CI/CD) with a focus on MLOps. Use it to automate development workflows, including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. CML can help train and evaluate models, and then generate a visual report with results and metrics, automatically on every pull request. -
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Lunatik
Lunatik is a framework for scripting the Linux kernel with Lua
Lunatik is a framework for scripting the Linux kernel with Lua. It is composed by the Lua interpreter modified to run in the kernel; a device driver (written in Lua =)) and a command line tool to load and run scripts and manage runtime environments from the user space; a C API to load and run scripts and manage runtime environments from the kernel; and Lua APIs for binding kernel facilities to Lua scripts. -
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OpenJK
Community effort to maintain and improve Jedi Academy (SP & MP)
OpenJK is a community effort to maintain and improve the game and engine powering Jedi Academy and Jedi Outcast while maintaining full backward compatibility with the existing games and mods. This project does not intend to add major features, rebalance, or otherwise modify core gameplay. -
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mp-units
The quantities and units library for C++
mp-units is a compile-time enabled feature-rich Modern C++ modular/header-only library that provides compile-time dimensional analysis and unit/quantity manipulation. Its key strengths include safety, performance, and developer experience. -
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TexSoup
Fault-tolerant Python3 package for searching LaTeX documents
Navigate, Search, and Modify LaTeX Documents in Python. Easy and reliable: No C extensions, no installation dependencies, and 100% test coverage. TexSoup is a fault-tolerant, Python3 package for searching, navigating, and modifying LaTeX documents. You can skip installation and try TexSoup directly, using the pytwiddle demo. -
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wikmd
A file based wiki that uses markdown
It’s a file-based wiki that aims to simplicity. Instead of storing the data in a database I chose to have a file-based system. The advantage of this system is that every file is directly readable inside a terminal etc. Also when you have direct access to the system you can export the files to anything you like. -
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kubeinvaders
Gamified Chaos Engineering Tool for Kubernetes
This project is part of the landscape of Cloud Native Computing Foundation in the Observability and Analysis - Chaos Engineering section. Backed by the teams at platform engineering.it and devopstribe.it, which provides enterprise-grade features and certified resilience services for your Kubernetes infrastructure. -
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Ceph CSI
CSI driver for Ceph
Ceph CSI plugins implement an interface between a CSI-enabled Container Orchestrator (CO) and Ceph clusters. They enable dynamically provisioning Ceph volumes and attaching them to workloads. For details about the configuration and deployment of the RBD plugin, please refer rbd doc and for the CephFS plugin configuration and deployment please refer cephFS doc. -
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Practical CleanArchitecture
Full-stack .Net 8 Clean Architecture
Full-stack .Net 8 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 17, React 18, Vue 3, BFF with YARP, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, Entity Framework Core, Selenium, SignalR, Hosted Services, Health Checks, Rate Limiting, Cloud Services (Azure, AWS, Google). -
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Capturable
Jetpack Compose utility library for capturing Composable content
A Jetpack Compose utility library for converting Composable content into Bitmap image. In the previous View system, drawing Bitmap Image from View was very straightforward. But that's not the case with Jetpack Compose since it's different in many aspects from previous system. This library helps easy way to achieve the same results. -
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Kor
LLM
This is a half-baked prototype that “helps” you extract structured data from text using LLMs. Specify the schema of what should be extracted and provide some examples. Kor will generate a prompt, send it to the specified LLM and parse out the output. You might even get results back. -
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pycm
Multi-class confusion matrix library in Python
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. -
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AI App Lab
Implementing large models into scenario-based applications
...The repository also contains a large collection of prototype applications that demonstrate how AI can be applied to scenarios such as customer service, education, content generation, and mobile automation. These examples allow developers to quickly replicate and customize solutions for their own business needs. -
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Jupyter Docker Stacks
Ready-to-run Docker images containing Jupyter applications
Jupyter Docker Stacks provides a curated set of ready-to-run Docker container images that bundle Jupyter applications with popular data science and computing tools, enabling users to quickly start working in a reproducible environment. These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run... -
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Preline UI
Preline UI is an open-source set of prebuilt UI components
...Developers can quickly assemble complex, mobile-friendly user interfaces with consistent design and behavior straight out of the box, greatly reducing the overhead of crafting common UI patterns from scratch. Preline also offers setup guidance and integration examples so teams can get started rapidly within their Tailwind projects. Because it follows Tailwind’s conventions, it integrates smoothly with other Tailwind-first tools and workflows, maintaining a lean stylesheet footprint and maximizing flexibility. -
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handson-ml3
Fundamentals of Machine Learning and Deep Learning
handson-ml3 contains the Jupyter notebooks and code for the third edition of the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. ... -
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Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and... -
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verl
Volcano Engine Reinforcement Learning for LLMs
...The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. It ships with reference implementations of popular alignment algorithms and clear examples that make it straightforward to reproduce baselines before customizing. Data pipelines treat human feedback, simulated environments, and synthetic preferences as interchangeable sources, which helps with rapid experimentation. VERL is meant for both research and production hardening: logging, checkpointing, and evaluation suites are built in so you can track learning dynamics and regressions over time.
