Showing 3550 open source projects for "core"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 1
    NanoNeuron

    NanoNeuron

    NanoNeuron is 7 simple JavaScript functions

    ...The repository bridges the gap between formulae and intuition by making each update transparent and observable. It’s ideal for absolute beginners who want to internalize core ideas before moving on to multi-layer networks and libraries.
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  • 2
    spf13-vim

    spf13-vim

    The ultimate vim distribution

    ...Even though the broader Vim ecosystem has evolved, spf13-vim remains a recognizable snapshot of a cohesive, full-featured setup that many developers leaned on for years. Its value is as much educational as it is practical: it shows how to shape Vim into a modern editor while keeping the core lightweight and fast.
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  • 3
    ZeusDB Vector Database

    ZeusDB Vector Database

    Blazing-fast vector DB with similarity search and metadata filtering

    ...The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch, streaming, and upsert—making it easy to keep embeddings synchronized as content changes. Hybrid search is a core design goal, allowing you to mix vector, keyword, and filter queries in a single request for practical relevance. Observability and safety round out the system, with metrics, tracing, and guardrails to manage recalls, deletions, and privacy-sensitive data at scale.
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  • 4
    Nomulus

    Nomulus

    Top-level domain name registry service on Google Cloud Platform

    Nomulus is a production-grade, open-source domain registry platform used to operate top-level domains (TLDs). It implements the core registry protocols—EPP for registrar interactions, WHOIS/RDAP for public data access—and manages the lifecycle of domain objects, hosts, and contacts. The system is built to scale and to enforce policy: pricing rules, reserved names, premium tiers, grace periods, and automated renewals are modeled explicitly. It integrates with DNS provisioning, data escrow, and billing so you can run a compliant registry end-to-end rather than stitching together separate services. ...
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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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  • 5
    RLax

    RLax

    Library of JAX-based building blocks for reinforcement learning agents

    RLax (pronounced “relax”) is a JAX-based library developed by Google DeepMind that provides reusable mathematical building blocks for constructing reinforcement learning (RL) agents. Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. ...
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  • 6
    ML Ferret

    ML Ferret

    Refer and Ground Anything Anywhere at Any Granularity

    Ferret is Apple’s end-to-end multimodal large language model designed specifically for flexible referring and grounding: it can understand references of any granularity (boxes, points, free-form regions) and then ground open-vocabulary descriptions back onto the image. The core idea is a hybrid region representation that mixes discrete coordinates with continuous visual features, so the model can fluidly handle “any-form” referring while maintaining precise spatial localization. The repo presents the vision-language pipeline, model assets, and paper resources that show how Ferret answers questions, follows instructions, and returns grounded outputs rather than just text. ...
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  • 7
    Granite TSFM

    Granite TSFM

    Foundation Models for Time Series

    ...The repository focuses on end-to-end workflows: loading data, building datasets, fine-tuning forecasters, running evaluations, and serving models. It documents the currently supported Python versions and points users to where the core TSFM models are hosted and how to wire up service components. Issues and examples in the tracker illustrate common tasks such as slicing inference windows or using pipeline helpers that return pandas DataFrames, grounding the library in day-to-day time-series operations. The ecosystem around TSFM also includes a community cookbook of “recipes” that showcase capabilities and patterns. ...
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  • 8
    Habitat-Sim

    Habitat-Sim

    A flexible, high-performance 3D simulator for Embodied AI research

    Habitat-Sim is a high-performance 3D simulator for embodied AI research, designed to run photorealistic indoor environments at thousands of frames per second. It offers GPU-accelerated rendering and a flexible sensor suite—RGB, depth, semantic segmentation, and more—so agents can perceive and act in realistic scenes. The engine is written in C++ with Python bindings and integrates physics, navigation meshes, and shortest-path planners to support tasks like point-goal navigation,...
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  • 9
    DeepEP

    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 addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. ...
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    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

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  • 10
    Fast-Kubernetes

    Fast-Kubernetes

    This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment

    Fast-Kubernetes is a practical, hands-on repository that explains Kubernetes concepts and walks users through dozens of bite-size labs and examples. The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. ...
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  • 11
    PLT (Programming Languages Theory)

    PLT (Programming Languages Theory)

    Programming Language Theory

    Curated roadmap to Programming Language Theory, collecting seminal papers, books, and resources into a navigable structure for self-study. It spans foundational topics like lambda calculus, type systems, interpreters, compilers, and formal semantics, while also pointing to contemporary areas such as effect systems, dependent types, and verification. Each section clusters materials by theme so learners can build understanding step by step instead of grazing at random. The list emphasizes...
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  • 12
    Little Book of Linear Algebra

    Little Book of Linear Algebra

    A concise, beginner-friendly introduction to the core ideas of linear

    This is a concise, beginner-friendly introduction to the fundamental concepts of linear algebra, intended to give readers intuition without overwhelming detail. The material is organized into chapters covering vectors, matrices, linear systems, vector spaces, eigenvalues/eigenvectors, and other central topics, each with worked examples and explanations. There is also a companion “LAB” section for hands-on exploration (e.g. using Python/NumPy) to help cement the connections between algebraic...
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  • 13
    Cpp17

    Cpp17

    Chinese translation of C++17 The Complete Guide

    The repository is a Chinese translation of “C++17: The Complete Guide”, a comprehensive reference book originally by Nicolai M. Josuttis, adapted for learners and developers who prefer reading in Chinese. It includes a full LaTeX source, Markdown drafts, and compiled PDF/EPUB versions, allowing readers to either consume the translated text or regenerate formatted outputs themselves. The content is organized into multiple parts: basic language features (e.g. structured binding, inline...
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  • 14
    Giter8

    Giter8

    A command line tool to apply templates defined on GitHub

    giter8 is a command-line utility and templating tool used to generate new projects or code structures from templates. The core idea is that you can define a “template repository” (e.g. on GitHub) with placeholders, variables, and a folder structure, and giter8 will clone it and substitute in values (e.g. project name, package, author) to produce a ready-to-go scaffold. It’s commonly used in the Scala / JVM ecosystem to bootstrap new applications or libraries, letting developers avoid repetitive boilerplate setup. ...
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  • 15
    mlr3

    mlr3

    mlr3: Machine Learning in R - next generation

    mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via companion packages.
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  • 16
    Preact

    Preact

    Fast 3kB React alternative with the same modern API

    Preact is a lightweight alternative to React that implements the same core component and hooks model in a tiny footprint. It provides a virtual DOM, diffing, and a familiar Component/JSX API, enabling developers to reuse much of their React knowledge. With preact/compat, many React libraries can be used directly, making migration or code sharing practical in performance-sensitive apps. Its focus on size and speed makes it attractive for embedded widgets, mobile web, and scenarios where initial load must be extremely fast. ...
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  • 17
    OpenAuth

    OpenAuth

    Universal, standards-based auth provider

    ...It emphasizes secure defaults, including robust token handling, CSRF protections, and clear session lifecycles, while leaving room for customization where apps need it. Developers can bring their own database or storage layer and wire it through adapters without rewriting core logic. The goal is to remove boilerplate around sign-up/sign-in, user profiles, and authorization checks so teams can ship features faster.
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  • 18
    Docspell

    Docspell

    Assist in organizing your piles of documents

    ...It can learn metadata from existing documents and find things using NLP. This makes adding metadata to your documents a lot easier. For machine learning, it relies on the free (GPL) Stanford Core NLP library.
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  • 19
    Inferable

    Inferable

    Inferable is a developer-first AI automation platform

    ...Inferable comes out of the box with delightful DX to kickstart your AI automation journey. We bring the best in class vertically integrated LLM orchestration. You bring your product and domain expertise. At the core of Inferable is a distributed message queue that ensures your AI automation is scalable and reliable. It makes sure your automations are executed correctly, and that failures are handled gracefully. Decorate your existing functions, REST APIs, and GraphQL endpoints with decorators to require human approval.
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  • 20
    KubeEdge

    KubeEdge

    Kubernetes Native Edge Computing Framework (project under CNCF)

    KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. ...
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  • 21
    Jupyter Enterprise Gateway

    Jupyter Enterprise Gateway

    Enables Jupyter Notebooks to share resources across clusters

    Jupyter Enterprise Gateway is a headless web server with a pluggable framework for anyone supporting multiple notebook users in a managed-cluster environment. Some of the core functionality it provides is better optimization of compute resources, improved multi-user support, and more granular security for your Jupyter notebook environment - making it suitable for enterprise, scientific, and academic implementations. From a technical perspective, Jupyter Enterprise Gateway is a web server that enables the ability to launch kernels on behalf of remote notebooks. ...
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  • 22
    Pipy

    Pipy

    Pipy is a programmable proxy for the cloud, edge and IoT

    Pipy is a high performance programmable proxy for the cloud, edge and IoT. Its core is written in C++ with excellent cross-platform capability. It is both high performance and low resource. Pipy comes with a built-in JavaScript engine that allows easy custom logic implementation with the simple JS syntax, greatly reducing the complexity in high-performance network programming. It is suitable for a variety of hardware architectures including x86, ARM64, Loongson and RISC-V.
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  • 23
    Roach

    Roach

    The complete web scraping toolkit for PHP

    ...Roach isn’t just a simple crawler, but includes an entire pipeline to clean, persist and otherwise process extracted data as well. It’s your all-in-one resource for web scraping in PHP. Roach doesn’t depend on a specific framework. Instead, you can use the core package on its own or install one of the framework-specific adapters. Currently, there’s a first-party adapter available to use Roach in your Laravel projects with more coming. Roach is built from the ground up with extensibility in mind. In fact, most of Roach’s built-in behavior works the exact same way that any custom extensions or middleware works.
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  • 24
    A Fluent Builder For Schema.org Types

    A Fluent Builder For Schema.org Types

    A fluent builder Schema.org types and ld+json generator

    spatie/schema-org provides a fluent builder for all Schema.org types and their properties. The code in src is generated from Schema.org's JSON-LD standards file, so it provides objects and methods for the entire core vocabulary. The classes and methods are also fully documented as a quick reference. We highly appreciate you sending us a postcard from your hometown, mentioning which of our package(s) you are using. You'll find our address on our contact page. We publish all received postcards on our virtual postcard wall. If you don't want to break the chain of a large schema object, you can use the if method to conditionally modify the schema. ...
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  • 25
    KOTS

    KOTS

    KOTS provides the framework, tools and integrations

    ...The Kots CLI (a Kubectl plugin) is a general purpose, client-side binary for configuring and building dynamic Kubernetes manifests. The Kots CLI also serves as the bootstrapper for the in-cluster Kubernetes application Admin Console kotsadm which can be used to automate the core Kots CLI tasks for managing applications (license verification, configuration, updates, image renaming, version controlling changes, and deployment) as well as additional KOTS tasks (running preflight checks and performing support bundle analysis). The install command is the recommended way to learn KOTS. Executing the install command will install an application and the kotsadm Admin Console to an existing Kubernetes cluster. ...
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