Search Results for "two" - Page 29
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Showing 24995 open source projects for "two"
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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SimpleNES
An NES emulator in C++
SimpleNES is a lightweight, educational Nintendo Entertainment System emulator written in C++ that focuses on demonstrating the core architecture and behavior of classic console emulation. It replicates the essential components of the NES, including CPU execution, graphics rendering, and audio playback, allowing users to run original .nes ROM files on modern systems. The project supports a subset of cartridge mappers, which means it can successfully run a significant portion of early NES... -
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Berglas
A tool for managing secrets on Google Cloud
...It is built to store and retrieve secrets securely by encrypting them with Cloud KMS and storing them in Cloud Storage, while also providing an interoperable layer for Secret Manager. The project serves two related purposes: as a CLI, it automates secret encryption, decryption, and storage workflows, and as a library, it helps inject secrets into supported Google Cloud runtimes. This makes it useful for teams that want a more programmable and cloud-native approach to secret distribution without hardcoding sensitive values into applications or deployment pipelines. ... -
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RecAI
Bridging LLM and Recommender System
...Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent recommendation engines. The project explores several approaches, including fine-tuning language models using user behavior data, building recommender agents, and using LLMs to explain recommendation results. RecAI also investigates how conversational interfaces powered by LLMs can improve the personalization and transparency of recommendation systems. -
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KIS Open API
Korea Investment & Securities Open API Github
...It includes example scripts that demonstrate how to authenticate with the service, retrieve financial data, and execute trading operations through REST and WebSocket interfaces. The repository organizes its examples into two main groups: code designed for direct user implementation and simplified examples intended for large language model agents or automation workflows. -
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Parallax
Parallax is a distributed model serving framework
...Instead of relying on centralized GPU clusters in data centers, the system allows multiple heterogeneous machines to collaborate in serving AI inference workloads. Parallax divides model layers across different nodes and dynamically coordinates them to form a complete inference pipeline. A two-stage scheduling architecture determines how model layers are allocated to available hardware and how requests are routed across nodes during execution. This scheduling system optimizes latency, throughput, and hardware utilization even when nodes have different computational capabilities. The platform also supports model sharding and pipeline parallelism, allowing very large models to run across distributed resources. -
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AgentDock
Build Anything with AI Agents
...The platform provides a backend-first architecture that allows developers to create sophisticated agent systems while maintaining flexibility in model providers and infrastructure choices. It consists of two main components: a core framework that handles agent logic and orchestration, and a reference client application that demonstrates how agents can be deployed and interacted with through a web interface. Built primarily with TypeScript and modern web technologies, the framework emphasizes extensibility and predictable behavior through configurable determinism. ... -
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vimrc
The ultimate Vim configuration (vimrc)
amix/vimrc is a popular, batteries-included Vim configuration that aims to make Vim productive from the very first launch. It ships with a curated set of sensible defaults, mappings, and plugins that cover editing, navigation, search, Git, and language tooling. The project offers two tracks—a full configuration and a lightweight version—so you can choose between a maximal setup or a leaner base. Installation is intentionally simple, relying on a single command that clones and bootstraps everything into place. The repo is opinionated about ergonomics: consistent leader mappings, improved motions, and polished statusline settings reduce friction for everyday work. ... -
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Containerization (Apple)
Containerization is a Swift package for running Linux containers
This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. ... -
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FlexColorScheme
A Flutter package to make and use beautiful color scheme based themes
...At least in theory, and it is almost so if you defined your ThemeData by using the ThemeData.from factory, but it misses a few details. This applies in particular when you use Material-2 design in Flutter, which is the default. When you opt in on using Material-3, the color results and styles are much more consistent by default. -
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inertia
Inertia.js lets you quickly build modern single-page React, Vue
Create modern single-page React, Vue, and Svelte apps using classic server-side routing. Works with any backend, tuned for Laravel. Inertia is a new approach to building classic server-driven web apps. We call it the modern monolith. Inertia allows you to create fully client-side rendered, single-page apps, without the complexity that comes with modern SPAs. It does this by leveraging existing server-side patterns that you already love. Inertia has no client-side routing, nor does it require... -
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Spark NLP
State of the Art Natural Language Processing
...The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. ... -
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reproc
A cross-platform (C99/C++11) process library
reproc (Redirected Process) is a cross-platform C/C++ library that simplifies starting, stopping and communicating with external programs. The main use case is executing command line applications directly from C or C++ code and retrieving their output. reproc consists out of two libraries: reproc and reproc++. reproc is a C99 library that contains the actual code for working with external programs. reproc++ depends on reproc and adapts its API to an idiomatic C++11 API. It also adds a few extras that simplify working with external programs from C++. -
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Pluto
A cli tool to help discover deprecated apiVersions in Kubernetes
Kubernetes sometimes deprecates API versions. Most notably, a large number of deprecations happened in the 1.16 release. This is fine, and it's a fairly easy thing to deal with. However, it can be difficult to find all the places where you might have used a version that will be deprecated in your next upgrade. You might think, "I'll just ask the api-server to tell me!", but this is fraught with danger. If you ask the API-server to give you deployments.v1.apps, and the deployment was deployed... -
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Kubero
A free and self-hosted Heroku PaaS alternative for Kubernetes
Kubero [pronounced: Kube Hero] is a fully self-hosted Internal Developer Platform (IDP) that brings the workflows of Heroku to your Kubernetes cluster. It enables you to deploy your applications with a few clicks. It has a built-in CI/CD pipeline and supports multiple staging environments. Kubero initiates two containers: one for cloning your repository and another for building your app. Once the build is complete, Kubero will launch the final container and make it accessible via the configured domain. -
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kotlinx-io
Kotlin multiplatform I/O library
A multiplatform Kotlin library providing basic IO primitives. kotlinx-io is based on Okio but does not preserve backward compatibility with it. Buffer works like a queue, allowing to read data from its head or to write data to its tail. Buffer provides functions to read and write data of different built-in types, and to copy data to or from other Buffers. Depending on the target platform, extension functions allowing data exchange with platform-specific types are also available. A Buffer... -
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kotlin-logging
Lightweight Multiplatform logging framework for Kotlin
Lightweight Multiplatform logging framework for Kotlin, written in Pure Kotlin. A convenient and performant logging facade. Version 5 is not backward compatible with previous versions (v.3, v.2, v.1). Group id (in maven) and package names changed. It is possible to use both version 5 and previous versions side-by-side so some of the code from the old version and some new. It is also possible to have libs using old version and use the new version (and vice-versa). After seeing many questions like the Idiomatic way of logging in Kotlin and Best practices for loggers, it seems like there should be a standard for logging and obtaining a logger in Kotlin. -
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ImplicitGlobalGrid.jl
Distributed parallelization of stencil-based GPU and CPU applications
...It renders the distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid almost trivial and enables close to ideal weak scaling of real-world applications on thousands of GPUs [1, 2, 3]. ImplicitGlobalGrid relies on the Julia MPI wrapper (MPI.jl) to perform halo updates close to hardware limit and leverages CUDA-aware or ROCm-aware MPI for GPU-applications. The communication can straightforwardly be hidden behind computation [1, 3] (how this can be done automatically when using ParallelStencil.jl is shown in; a general approach particularly suited for CUDA C applications is explained in. -
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Roots.jl
Root finding functions for Julia
This package contains simple routines for finding roots, or zeros, of scalar functions of a single real variable using floating-point math. The find_zero function provides the primary interface. The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters. Bisection-like algorithms. For functions where a bracketing interval is known... -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for... -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
...This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package implemented an execution strategy for collecting and summarizing individual benchmark results, while BenchmarkTrackers implemented a framework for organizing, running, and determining regressions of groups of benchmarks. Under the hood, BenchmarkTrackers relied on Benchmarks for actual benchmark execution. -
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Mobility
Pluggable Ruby translation framework
...Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including translatable columns and model translation tables, as well as database-specific storage solutions such as json/jsonb and Hstore (for PostgreSQL). -
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pgvecto.rs
Vector database plugin for Postgres, written in Rust
pgvecto.rs is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on pgrx. It is currently under heavy development, please take care when using it in production. pgvecto.rs is a Postgres extension, which means that you can use it directly within your existing database. This makes it easy to integrate into your existing workflows and applications. pgvecto.rs supports filtering. You can set conditions when searching or retrieving points. This... -
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Kamon Telemetry
Distributed Tracing, Metrics and Context Propagation for applications
Kamon Telemetry is a set of libraries for instrumenting applications running on the JVM. With Kamon Telemetry you can collect metrics, propagate context across threads and services, and get distributed traces automatically. The best way to get started is by following our installation guides and taking it from there. Have fun with Kamon. Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Everybody starts... -
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rpc-websockets
JSON-RPC 2.0 implementation over WebSockets for Node.js
The rpc-websockets library enables developers to easily implement their business logic that includes messaging between users, machines or any devices. It provides a possibility to send and receive JSON data through the WebSocket communication protocol in order to support two-way notification push, running RPC methods and firing any types of event signalling. Only clients can call RPC methods and not vice versa at the moment. Both frontend (HTML/JS-based) and backend (Node.js-based) development environments are supported.
