Search Results for "core" - Page 24
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Showing 3550 open source projects for "core"
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InMemoryDatasets.jl
Multithreaded package for working with tabular data in Julia
InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables. -
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jaq
A jq clone focussed on correctness, speed, and simplicity
jaq (pronounced like Jacques) is a clone of the JSON data processing tool jq. jaq aims to support a large subset of jq's syntax and operations. Jaq aims to provide a more correct and predictable implementation of jq, while preserving compatibility with jq in most cases. -
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Reliable PostgreSQL Backup & Restore
Reliable PostgreSQL backup and restore
pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. Compression is usually the bottleneck during backup operations but, even with now-ubiquitous multi-core servers, most database backup solutions are still single-process. pgBackRest solves the compression bottleneck with parallel processing. Utilizing multiple cores for compression makes it possible to achieve 1TB/hr raw throughput even on a 1Gb/s link. More cores and a larger pipe lead to even higher throughput. A custom protocol allows pgBackRest to backup, restore, and archive locally or remotely via TLS/SSH with minimal configuration. ... -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? ... -
Build Agents and Models on One PlatformGemini 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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Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. ... -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
...Thread-safe by design. Distributed under free software license GPLv2. Another significant change on this version is the addition of some new APIs to allow better control on how the core engine works. -
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modern-cpp-features
A cheatsheet of modern C++ language and library features
Modern C++ Features is a reference guide and cheat sheet for major language and standard-library additions introduced in modern C++. It organizes material by language version, covering C++11, C++14, C++17, C++20, and C++23. Each section separates core language features from library features for easier scanning. Topics range from lambdas, constexpr, structured bindings, and concepts to coroutines, optional, filesystem, expected, and stack traces. Individual entries explain what a feature does and typically include concise examples. The repository is designed as a practical refresher for developers who want to learn, compare, or quickly look up modern C++ capabilities. -
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Photo Abstract Editorial
Codex Skill transforms a photograph into a vertically edited work
...Layout proportions adapt to the source image instead of using a fixed split. Users can adjust color treatment, abstraction level, typography, motif size, and panel proportions while preserving the core source-derived logic. The repository includes Chinese and English prompts, examples, Codex metadata, and a noncommercial-use license. -
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CS-Books
Collection of computer science textbooks, learning materials
CS-Books is a massive curated collection of computer science textbooks, learning materials, and resource links that covers a wide range of topics from programming languages like C/C++ and Python to core subjects such as data structures, algorithms, operating systems, databases, networks, and design patterns. The repository aggregates over a thousand classic reference books and educational resources into a single index, making it a valuable starting point for self-learners, students preparing for technical interviews, and professionals deepening their knowledge across different CS domains. ... -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
SimpleLLM is a minimal, extensible large language model inference engine implemented in roughly 950 lines of code, built from scratch to serve both as a learning tool and a research platform for novel inference techniques. It provides the core components of an LLM runtime—such as tokenization, batching, and asynchronous execution—without the abstraction overhead of more complex engines, making it easier for developers and researchers to understand and modify. Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. ... -
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Zen C
Write like a high-level language, run like C
...Zen-C includes a lightweight compiler front-end and runtime that can target multiple platforms, enabling users to compile and run code on both desktop and embedded environments without heavy tooling. Because it prioritizes clarity and predictability, the language makes it easier for learners to understand core systems concepts while still accessing low-level memory control and performance. -
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Vuetify
Vue Component Framework
Vuetify is a no design skills required Open Source UI Library with beautifully handcrafted Vue Components. Vuetify is an MIT licensed project that is developed and maintained full-time by John Leider and Heather Leider; with support from the entire Core Team. Sponsor Vuetify and receive some awesome perks and support Open Source Software at the same time. Vuetify is a no-design-skills required UI Library with beautifully handcrafted Vue Components. No design skills are required, everything you need to create amazing applications is at your fingertips. Vuetify has a massive API that supports any use case. -
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Claw Code
AI agent harness for AI coding agents
Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured, how they interact with tools, and how they maintain context during execution. The system is being actively expanded, with a Rust-based runtime in development to improve performance and memory safety. ... -
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Hello-Agents
Building an Intelligent Agent from Scratch
...The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step task execution, enabling hands-on experimentation with modern LLM-powered agent systems. The repository is structured as a progressive learning path, combining theory, exercises, and runnable code so users can incrementally build more capable agents. ... -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
...The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. This collection makes abstract theoretical ideas concrete by walking learners through real code and tangible outcomes, helping demystify parts of machine learning that often feel opaque in purely textbook settings. -
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Motia
Multi-Language Backend Framework that unifies APIs
Motia is a large-scale, multi-language backend framework designed to unify and simplify core backend concerns — from APIs and background jobs to distributed workflows, streams, and advanced AI agent integration — through a single coherent primitive with built-in observability and state management. It provides a unified development philosophy that seamlessly bridges different backend patterns (queues, event streams, scheduled jobs) while offering integrated tools for telemetry, logging, metrics, and tracing to help teams maintain high visibility into production workloads. ... -
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AutoMaker
Start directing AI agents
...Instead of writing every line of code by hand, users add feature cards to a Kanban board with natural language descriptions, and AI agents powered by the Claude Agent SDK handle multi-step tasks such as planning, generating code, running tests, and committing to an isolated git worktree. The core idea is to shift developers’ focus from mechanical coding to high-level architectural and product decisions while retaining control through review and approval of generated changes. Built with tools like React, Vite, Electron, and Express, Automaker offers both web and desktop workflows with real-time streaming of agent activity and visibility into progress. -
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SurfSense
Connect any LLM to your internal knowledge sources
...Built as an alternative to proprietary tools like NotebookLM, Perplexity, and Glean, SurfSense allows integrations with a wide range of external data sources including Slack, Notion, Google Drive, GitHub, YouTube, and many enterprise systems, making it possible to interact with documents, chat logs, and structured data using natural language. Team collaboration is a core focus, with real-time shared chats, role-based access control, and comment threads enabling organized workflows. The platform also supports advanced retrieval augmented generation (RAG) capabilities, enabling powerful search and citation features that help answer questions with contextually relevant data. -
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C.A.F.E.
The "Third Way" for Home Assistant Automations
...It’s designed to give users the visual clarity of tools like Node-RED without the overhead of a separate execution engine, storing the logic as standard YAML that runs in the core automation engine with zero added resource use. The editor lets users drag and drop nodes to represent triggers, conditions, actions, and variable manipulation, and then compiles those flows into highly readable and native YAML that is fully compatible with Home Assistant. Users can import existing automations to visualize and edit them, and CAFE respects the same underlying data structures so the native automation editor and CAFE can interoperate on the same logic. -
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ReactJS Interview Questions
List of top 500 ReactJS Interview Questions & Answers
ReactJS Interview Questions is a curated collection of over 500 commonly asked questions and answers about React and its ecosystem. The repository is designed as a preparation resource for developers preparing for interviews involving React, Redux, React Router, React Native, and related JavaScript technologies. It covers a broad spectrum of topics, from the fundamentals of React components and state management to advanced concepts like hooks, performance optimization, and design patterns.... -
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Coding Interview University
A complete computer science study plan to become a software engineer
...The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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Discourse
A platform for community discussion. Free, open, simple
...The platform is extensible: a plugin system and well-documented APIs let organizations add integrations (SSO, chat bridges, badges, embeds) and tailor behavior without hacking core code. -
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Mark
Sync your markdown files with Confluence pages
...This is very useful if you store documentation to your software in a Git repository and don't want to do the extra job of updating the Confluence page using a tinymce wysiwyg enterprise core editor which always breaks everything. Mark does the same but in a different way. Mark reads your markdown file, creates a Confluence page if it's not found by its name, uploads attachments, translates Markdown into HTML, and updates the contents of the page via REST API. It's like you don't even need to create sections/pages in your Confluence anymore, just use them in your Markdown documentation. ... -
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Astro
The web framework for content-driven websites
...Bring your own JavaScript UI components, CSS libraries, themes, integrations, and more. Islands optimize your website like no other web framework can. Leverage Astro's unique page load performance to improve conversion rates, Core Web Vitals, and SEO. Astro supports every major UI framework. Bring your existing components and take advantage of Astro's optimized client build performance. -
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Cosmos SDK
A Framework for Building High Value Public Blockchains
Cosmos is an ever-expanding ecosystem of interconnected apps and services, built for a decentralized future. The Cosmos SDK is a framework for building blockchain applications. Tendermint Core (BFT Consensus) and the Cosmos SDK are written in the Golang programming language. Cosmos SDK is used to build Gaia, the first implementation of the Cosmos Hub. The Cosmos SDK has mostly stabilized, but we are still making some breaking changes. The Cosmos SDK is an open-source framework for building multi-asset public Proof-of-Stake (PoS) blockchains, like the Cosmos Hub, as well as permission Proof-of-Authority (PoA) blockchains. ...
