Search Results for "combine" - Page 8
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Showing 589 open source projects for "combine"
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1
Dolphin
Document Image Parsing via Heterogeneous Anchor Prompting”
Dolphin — maintained by ByteDance — is a project aimed at providing a high-performance, robust, and extensible media or multimedia framework / player infrastructure (or possibly a streaming media solution), intended to meet modern demands for efficiency, flexibility, and integration in media-heavy applications. It seeks to combine performant media playback or handling (audio/video decoding, streaming, buffering) with a modular, developer-friendly API that allows easy embedding into larger applications or services. Because multimedia delivery requirements vary widely (adaptive streaming, live feeds, cross-platform compatibility, custom UI, performance constraints), Dolphin aims to offer a foundation that developers can build upon or adapt to their needs. ... -
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DeepEP
DeepEP: an efficient expert-parallel communication library
DeepEP is a communication library designed specifically to support Mixture-of-Experts (MoE) and expert parallelism (EP) deployments. Its core role is to implement high-throughput, low-latency all-to-all GPU communication kernels, which handle the dispatching of tokens to different experts (or shards) and then combining expert outputs back into the main data flow. Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP... -
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Flutter Wonderous App
A showcase app for the Flutter SDK
The Wonderous App is an award-winning showcase project that presents the Seven Wonders of the World through an immersive Flutter experience. It highlights Flutter’s ability to combine rich animations, custom graphics, and seamless navigation across platforms. The app includes detailed multimedia content—stories, galleries, maps, and 3D-like transitions—that make cultural heritage engaging and interactive. Its design emphasizes storytelling, using typography, colors, and motion to guide users through historical journeys. ... -
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see
Visualisation toolbox for beautiful and publication-ready figures
see is an R package that serves as the visualization component of the easystats ecosystem, providing plotting utilities to produce publication-ready visualizations of statistical model parameters, diagnostics, predictions, and performance metrics. It works in conjunction with other easystats packages (such as parameters, performance, modelbased, bayestestR, etc.) to convert model outputs or summary objects into visual forms (dot-and-whisker plots, diagnostic plots, residual plots, etc.). It... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Turbo Laravel
Conventions to make the most out of Hotwire in Laravel
An alternative way of building web and hybrid native applications with minimal JavaScript that relies on sending HTML over the wire. Turbo Laravel ships with a set of helper functions, response macros, and Blade components and directives to help construct Turbo Streams. Whenever a model changes, you may want to generate Turbo Streams from those changes and broadcast them to all interested users connected to Laravel Echo channels. It also ships with a Blade component that allows listening to... -
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Kubeflow pipelines
Machine Learning Pipelines for Kubeflow
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. A pipeline is a description of an ML workflow, including all of the components in the workflow and how they combine in the form of a graph. The pipeline includes the definition of the inputs (parameters) required to run the pipeline and the inputs and outputs of each component. A pipeline component is a self-contained set of user code, packaged as a Docker image, that performs one step in the pipeline. For example, a component can be responsible for data preprocessing, data transformation, model training, and so on. -
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Argilla
The open-source data curation platform for LLMs
...Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. ... -
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optparse-applicative
Applicative option parser
optparse-applicative is a haskell library for parsing options on the command line, and providing a powerful applicative interface for composing them. optparse-applicative takes care of reading and validating the arguments passed to the command line, handling and reporting errors, generating a usage line, a comprehensive help screen, and enabling context-sensitive bash, zsh, and fish completions. A value of type Parser a represents a specification for a set of options, which will yield a... -
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node-rate-limiter-flexible
Count and limit requests by key with atomic increments
...It works with Redis, process Memory, Cluster or PM2, Memcached, MongoDB, MySQL, PostgreSQL and allows to control of requests rate in single process or distributed environment. All operations in memory or distributed environments use atomic increments against race conditions. Combine limiters, block key for some duration, delay actions, manage failover with insurance options, configure smart key blocking in memory and many others. Average request takes 0.7ms in Cluster and 2.5ms in a Distributed application. See benchmarks. It provides a unified API for all limiters. Whenever your application grows, it is ready. ... -
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10
Riemann
A network event stream processing system, in Clojure
Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. Events are just structs with some common fields like :host and :service You can use dozens of built-in streams for filtering, altering, and combining events, or write your own. ... -
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iOS Interview Questions
iOS interview questions
...Each question is usually backed by sample explanations or code snippets, helping candidates understand not just what to answer but why it matters and how to reason about tradeoffs. Because the repo is maintained, it evolves to reflect changes in the iOS ecosystem: for example, newer Swift concurrency, Combine, SwiftUI, structured concurrency, or recent platform APIs. Many interviewers and candidates use it as a structured prep tool: reviewing categories, doing mock answers, or drilling tricky concepts. -
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Super Tiny Icons
Super Tiny Icons are miniscule SVG versions of your favourite website
...The project emphasizes performance: tiny inline SVGs reduce network transfer, speed up rendering, and scale crisply on high-DPI displays. Designers and developers can embed the icons directly, recolor them via CSS, or combine them in sprites without raster assets. The repository maintains consistent viewboxes and alignment so icons sit neatly alongside text and other UI elements. It is especially useful for landing pages, status banners, and mobile experiences where every byte matters. -
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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure... -
14
Gen.jl
A general-purpose probabilistic programming system
...Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. ... -
15
Darts
A python library for easy manipulation and forecasting of time series
...It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models can be trained on potentially large datasets containing multiple time series, and some of the models offer a rich support for probabilistic forecasting. We recommend to first setup a clean Python environment for your project with at least Python 3.7 using your favorite tool (conda, venv, virtualenv with or without virtualenvwrapper). -
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Pokémon Cards CSS
Collection of advanced CSS styles to create realistic-looking effects
...The project supports common card types (basic, stage, trainer, etc.), and includes classes to manage energy symbols, attack boxes, and flavor text. Many community users combine it with JavaScript to dynamically generate cards from data (e.g. Pokédex entries or user input). It offers a playful, educational example of what you can achieve with modern CSS, especially in combining design fidelity with flexible markup. -
17
Earthly
The effortless CI/CD framework that runs anywhere
...It runs builds inside containers, isolating dependencies and execution environments so the same build can run consistently on developer machines and CI systems. Earthly uses Earthfiles, which combine concepts from Dockerfiles and Makefiles into a syntax intended to be easy for developers to read and maintain. It works with existing compilers, programming languages, frameworks, and build tools, allowing teams to wrap their existing build processes rather than replace them. Earthly automatically creates build dependency graphs, runs independent steps in parallel, and caches results to improve build performance. ... -
18
SwiftPamphletApp
SwiftUI + Combine + Swift Concurrency Aysnc/Await Actor + GitHub API
Dai Ming's development brochure, a living development manual. macOS app developed with SwiftUI + Combine + Swift Concurrency Aysnc/Await Actor + GitHub API. Pull the code. Directly compile and generate a manual program without Github function. If you want to use the Github function, you can add your GitHub Access Token to gitHubAccessToken in SwiftPamphletAppConfig.swift. Get the GitHub Access Token at Personal Access Tokens here. -
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Step-Audio
Open-source framework for intelligent speech interaction
Step-Audio is a unified, open-source framework aimed at building intelligent speech systems that combine both comprehension and generation: it integrates large language models (LLMs) with speech input/output to handle not only semantic understanding but also rich vocal characteristics like tone, style, dialect, emotion, and prosody. The design moves beyond traditional separate-component pipelines (ASR → text model → TTS), instead offering a multimodal model that ingests speech or audio and produces speech accordingly, enabling natural dialogue, voice cloning, and expressive speech synthesis. ... -
20
files-to-prompt
Concatenate a directory full of files into a single prompt
...The output format is flexible: you can emit plain text, Markdown with fenced code blocks, or a Claude-XML style format designed for structured multi-file prompts. It can read file paths from stdin (including NUL-separated paths), which makes it easy to combine with find, rg, or other shell tools. -
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MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
...The project provides practical demonstrations of machine learning algorithms, data analysis workflows, and visualization techniques. Each notebook typically focuses on explaining a specific concept through step-by-step examples that combine explanatory text, code, and visual outputs. The repository covers a wide variety of data science topics such as predictive modeling, data preprocessing, statistical analysis, and feature engineering. Because the notebooks are designed as educational materials, they often emphasize readability and reproducibility so that readers can easily run and modify the examples. ... -
22
TilesFX
A JavaFX library containing tiles that can be used for dashboards
...To get an idea on how to use the skins with their parameters you could either take a look at the Demo file or check out the TilesFX Demo project which also contains information on how to combine TilesFX with other libraries e.g. Medusa You can also check my blog where you will find additional information about certain tiles. -
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JSON Schema to TS
Infer TS types from JSON schemas
A lot of projects use JSON schemas for runtime data validation along with TypeScript for static type checking. -
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MX-Linux
MX-Linux project
MX Linux is a cooperative venture between the antiX and MX Linux communities. It is a family of operating systems that are designed to combine elegant and efficient desktops with high stability and solid performance. MX’s graphical tools provide an easy way to do a wide variety of tasks, while the Live USB and snapshot tools inherited from antiX add impressive portability and remastering capabilities. Extensive support is available through videos, documentation and a very friendly Forum. -
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NVIDIA Generative AI Examples
Generative AI reference workflows
...The project is designed to help developers accelerate the development of AI applications by providing ready-to-run pipelines, notebooks, and tools that demonstrate how to integrate large language models into real-world systems. The repository includes examples covering topics such as retrieval-augmented generation pipelines, agent-based workflows, and multimodal AI applications that combine text, vision, and data processing. Many of the examples show how to deploy AI services using containerized environments, GPU acceleration, and microservices that can scale across modern infrastructure. Developers can explore sample chatbot applications, document question-answering systems, and knowledge-base pipelines that illustrate how generative AI can interact with external data sources.
