Search Results for "simple-xml" - Page 83
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Showing 25388 open source projects for "simple-xml"
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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
The deep-q-learning repository authored by keon provides a Python-based implementation of the Deep Q-Learning algorithm — a cornerstone method in reinforcement learning. It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. For learners and researchers interested in reinforcement learning, this repo offers a... -
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Step1X-Edit
A SOTA open-source image editing model
Step1X-Edit is a state-of-the-art open-source image editing model/framework that uses a multimodal large language model (LLM) together with a diffusion-based image decoder to let users edit images simply via natural-language instructions plus a reference image. You supply an existing image and a textual command — e.g. “add a ruby pendant on the girl’s neck” or “make the background a sunset over mountains” — and the model interprets the instruction, computes a latent embedding combining the... -
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Gitlab CLI
Ruby wrapper and CLI for the GitLab REST API
...The gem supports customization of endpoint URL, private tokens, proxy and HTTP options, making it suitable for self-managed GitLab instances as well as gitlab.com. It is test-covered and built to be simple to integrate into Ruby projects or CI scripts. Being open-source under a BSD-2-Clause license, it invites reuse in organizational tooling or internal DevOps workflows. Overall, it is a useful tool for teams working with GitLab who want to automate tasks. -
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Night Owl
VS Code dark theme for contrast for nighttime coding
Night Owl is a theme for Visual Studio Code designed by Sarah Drasner to provide a comfortable, high-contrast coding environment especially optimized for late-night development sessions and users who prefer dark themes. It also includes a “Light Owl” variant for daytime or brighter environments, giving users a consistent visual identity whether coding at night or day. The color palette is carefully chosen, with accessibility in mind (including better visibility for color-blind users) and... -
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AI Logo Generator
A free + OSS logo generator powered by Flux on Together AI
AI Logo Generator is an open-source AI logo generator that lets you create professional-looking logos in seconds from a simple text prompt. It uses the Flux Pro 1.1 model hosted on Together AI to generate logos, so the heavy lifting is done by a state-of-the-art image model while the app focuses on UX and workflow. The project is built with Next.js and TypeScript, and it uses shadcn/ui plus Tailwind CSS for a modern, responsive interface that feels like a polished SaaS product rather than a demo. ... -
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Controllable-RAG-Agent
This repository provides an advanced RAG
Controllable-RAG-Agent is an advanced Retrieval-Augmented Generation (RAG) system designed specifically for complex, multi-step question answering over your own documents. Instead of relying solely on simple semantic search, it builds a deterministic control graph that acts as the “brain” of the agent, orchestrating planning, retrieval, reasoning, and verification across many steps. The pipeline ingests PDFs, splits them into chapters, cleans and preprocesses text, then constructs vector stores for fine-grained chunks, chapter summaries, and book quotes to support nuanced queries. ... -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,... -
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agents.md
A simple, open format for guiding coding agents
openai/agents.md is a repository whose primary file is AGENTS.md, a proposed open, lightweight convention (i.e. Markdown file) for guiding coding agents in software repositories. The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of... -
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Chartkick
Create beautiful JavaScript charts with one line of Ruby
Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like automatic labels, legends, colors, and responsiveness without requiring you to manually configure chart options. ... -
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CodeBehind Framework
CodeBehind is a modern back-end framework under ASP.NET Core.
CodeBehind is a modern back-end framework under ASP.NET Core. CodeBehind was developed by Elanat in 2023 and competes with Microsoft's default web frameworks (ASP.NET Core MVC and Razor Pages and Blazor). CodeBehind is an engineering masterpiece that simultaneously provides the possibility of development based on MVC, Model-View, Controller-View, only View, and Web-Forms. The type of structure and naming in CodeBehind is nostalgia and reminds me of former Microsoft Web-Forms. The aspx... -
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Cogent Core
A free and open source framework for building powerful 2D and 3D apps
...Cogent Core is built on Go, a high-level language designed for building elegant, readable, and scalable code with full type safety and a robust design that never gets in your way. Cogent Core makes it easy to get started with cross-platform app development in just two commands and seven lines of simple code. Cogent Core allows developers and users to fully customize apps to fit their unique needs and preferences through a robust styling system and a powerful color system that allow developers and users to instantly customize every aspect of the appearance. -
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Mudlet
Cross-platform, open source, and super fast MUD client with scripting
...We’re always ready to add more games to the list. Mudlet offers excellent help for players in the 400-600 people online Discord channel. Similarly, its scripting design is carefully thought out to be simple, and intuitive, yet powerful to use. This combination makes Mudlet a lot easier to get started with. -
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EKS Distro Repository
Amazon EKS Distro (EKS-D) is a Kubernetes distribution
Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters. With EKS-D, you can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS. This includes the latest upstream updates, as well as extended security patching support. EKS-D follows the same Kubernetes version release cycle as Amazon EKS, and we provide the bits here. EKS-D provides the same software... -
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Micrometer
App observability facade for the most popular observability tools
Micrometer provides a simple facade over the instrumentation clients for the most popular observability systems, allowing you to instrument your JVM-based application code without vendor lock-in. Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. ... -
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CleanVision
Automatically find issues in image datasets
...This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset! The quality of machine learning models hinges on the quality of the data used to train them, but it is hard to manually identify all of the low-quality data in a big dataset. CleanVision helps you automatically identify common types of data issues lurking in image datasets. ... -
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GraphQL Scalars
A library of custom GraphQL Scalars for creating precise schemas
...Namely GraphQL has a limited set of scalar types, and we have found there are some additional scalar types that are useful in being more precise in our schemas. Thankfully, those sharp GraphQL folks provided a simple way to add new custom scalar types if needed. That's what this package does. GraphQL Scalars is a library of custom GraphQL scalar types for creating precise type-safe GraphQL schemas. The GraphQL Specification has the Int, Float, String, Boolean and ID Scalar types by default. Those scalar types help you identify the data and validate it before transferring it between client and server. ... -
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The Lura Project framework
Ultra performant API Gateway with middlewares
An extendable, simple and stateless high-performance API Gateway framework designed for both cloud-native and on-prem setups. Consumers of REST API content (specially in microservices) often query backend services that weren’t coded for the UI implementation. This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses. -
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Design Patterns Library
A comprehensive design patterns library implemented in C#
A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to... -
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
...While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. ... -
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Amazon EC2 Metadata Mock
A tool to simulate Amazon EC2 instance metadata
...You can also use instance metadata to access user data that you specified when launching your instance. For example, you can specify parameters for configuring your instance, or include a simple script. You can build generic AMIs and use user data to modify the configuration files supplied at launch time. For example, if you run web servers for various small businesses, they can all use the same generic AMI and retrieve their content from the Amazon S3 bucket that you specify in the user data at launch. To add a new customer at any time, create a bucket for the customer, add their content, and launch your AMI with the unique bucket name provided to your code in the user data. ... -
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PlexGuide.com
Rapidly deploy multiple-hasty Docker containers
...Deploys a Reverse Proxy (Traefik) so you can obtain https certificates on all your containers. Backup and Restore data through your Google Drive. Aligns data and ports for efficiency. Deploys with a simple installer and a GUI-like interface (commands do not have to be typed out). -
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TBOX
A glib-like multi-platform c library
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. It supports the following platforms: Windows, Macosx, Linux, Android, iOS, BSD and etc. -
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LÖVR
Lua Virtual Reality engine
...The framework is tiny, fast, open-source, and supports lots of different platforms and devices. Runs on Windows, Mac, Linux, Android, WebXR. Supports Vive/Index, Oculus Rift/Quest, Pico, Windows MR, and has a VR simulator. Simple VR scenes can be created in just a few lines of Lua. Writen in C99 and scripted with LuaJIT, includes optimized single-pass stereo rendering. Out of the box you get fast stereo rendering, VR controllers, hand tracking, haptics, spatial audio, 3D physics, PBR materials, SDF fonts, multiplayer, and more. The entire engine is 1MB and runs on LuaJIT, the fastest JIT compiler round these parts. ... -
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PeerJS
Simple peer-to-peer with WebRTC
PeerJS wraps the browser's WebRTC implementation to provide a complete, configurable, and easy-to-use peer-to-peer connection API. Equipped with nothing but an ID, a peer can create a P2P data or media stream connection to a remote peer. To broker connections, PeerJS connects to a PeerServer. Note that no peer-to-peer data goes through the server. The server acts only as a connection broker. If you don't want to run your own PeerServer, we offer a free cloud-hosted version of PeerServer.... -
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mlforecast
Scalable machine learning for time series forecasting
...It lets you apply any regressor that follows the typical scikit-learn API, for example, gradient-boosted trees or linear models, to time-series data by automating much of the messy feature engineering and data preparation. Instead of writing custom code to build lagged features, rolling statistics, and date-based predictors, mlforecast generates those automatically based on a simple configuration. It supports multi-series forecasting, meaning you can train one model that forecasts many time series at once (common in retail, demand forecasting, etc.), rather than one model per series. The library is built to scale: behind the scenes, it can leverage distributed computing frameworks (Spark, Dask, Ray) when datasets or the number of series grow large.
