Search Results for "tiny-core-plus" - Page 65
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Showing 15974 open source projects for "tiny-core-plus"
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CS-Ebook
Curated list of classic, high-quality computer science books
CS-Ebook is a curated repository that compiles high-quality and classic computer science books across a wide range of software-related fields. It focuses on depth over volume, selecting only well-regarded titles that support structured learning and long-term skill development. It spans core areas such as computer fundamentals, programming languages, software engineering, mathematics, data science, and artificial intelligence, making it suitable for learners at different stages. Rather than hosting files, the project serves as a discovery guide, helping users identify essential reading materials and build a strong technical foundation. ... -
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NLP
Open source NLP guide with models, methods, and real use cases
NLP is an open source introductory resource for natural language processing, presented as a continuously updated book hosted on GitHub. It explains how machines process and understand human language, combining theory with practical examples. Its covers core NLP concepts such as text representation, feature extraction, and model evaluation, alongside hands-on implementations using tools like Word2Vec, TF-IDF, and FastText. It also introduces topic modeling with LDA, keyword extraction techniques, and document similarity methods. NLP extends into real-world applications, including sentiment analysis and text classification, helping readers connect concepts to use cases. ... -
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Cloud Foundation Toolkit Project
The Cloud Foundation toolkit provides GCP best practices as code
Cloud Foundation Toolkit is a best-practices-as-code project intended to help teams build and manage Google Cloud environments in a more standardized, production-ready way. At its core, it combines a comprehensive set of Terraform blueprints with developer tooling that supports the creation and management of those blueprints. The repository is aimed at infrastructure teams that want reusable, policy-aligned starting points instead of assembling foundational cloud environments from scratch every time. Because the included blueprints are described as production-ready and aligned with Google recommendations, the project is particularly useful for organizations establishing landing zones, repeatable environment patterns, and governed infrastructure workflows. ... -
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OpenHome Abilities
Open-source abilities for OpenHome agents
OpenHome Abilities is an open-source repository of modular voice AI plugins created for OpenHome agents, giving developers a lightweight way to extend what an agent can do through spoken triggers. Each ability is intentionally simple in structure, centering on a single main.py file that contains the core Python logic, which lowers the barrier to building and sharing custom behaviors. The system is meant to support a wide range of voice-driven actions, from API calls and media playback to quiz flows, device control, and multi-turn conversations, so it functions as a practical extension framework rather than a narrow template library. ... -
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Svelte Commerce
The open-source storefront for any ecommerce
...Because it is headless, the frontend can integrate with different eCommerce engines such as Medusa, Litekart, or other REST-based platforms. The project includes many core commerce features such as product browsing, shopping carts, checkout flows, authentication, and search capabilities. Built with a modern JavaScript stack, it emphasizes performance and responsiveness by leveraging Svelte’s reactive architecture and server-side rendering capabilities. Developers can deploy the project as a standalone storefront or customize it extensively to match their own eCommerce infrastructure. -
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learning
A log of things I'm learning
...Rather than being a traditional software library, the repository acts as a structured knowledge base documenting the author’s ongoing learning journey across topics such as programming, system design, machine learning, and generative AI. The content is organized into categories that cover both core engineering skills and adjacent technologies, enabling readers to follow a practical roadmap for developing strong technical foundations. The repository emphasizes clear explanations, curated resources, and concise notes designed to help developers learn complex topics efficiently. Because it is updated regularly, it reflects evolving trends in software engineering and emerging technologies such as modern AI systems. -
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BoxMOT
Pluggable SOTA multi-object tracking modules for segmentation
...The project focuses on the tracking-by-detection paradigm, where objects detected by vision models are continuously tracked across frames in a video sequence. It provides a pluggable architecture that allows developers to combine different object detectors with multiple tracking algorithms without modifying the core codebase. The framework supports integration with detection, segmentation, and pose estimation models that produce bounding box outputs. It also includes evaluation tools and benchmarking pipelines that allow researchers to test tracking performance on standard datasets such as MOT17 and MOT20. The system offers different performance modes that balance computational efficiency with tracking accuracy depending on the application requirements. -
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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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SmartEnum
A base class for creating strongly typed enum replacements in C#
SmartEnum is a .NET library that provides a strongly typed alternative to traditional C# enums by allowing developers to create richer, object-oriented enumeration classes. Instead of being limited to primitive numeric values, SmartEnum enables enums to include behavior, validation, and additional properties while preserving type safety and readability. The library is widely used in domain-driven design scenarios where business concepts require more expressive modeling than standard enums... -
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Polyaxon
MLOps tools for managing & orchestrating the ML LifeCycle
Polyaxon is an open-source machine learning operations (MLOps) platform built to help individuals, teams, and organizations develop, train, orchestrate, and monitor machine learning and deep learning workflows at scale with reproducibility and automation as core principles. It provides a unified solution for tracking experiments, managing datasets, scheduling jobs, and comparing results across runs, which greatly improves productivity and collaboration in data science teams. Polyaxon integrates seamlessly with Kubernetes and container orchestration so that workloads can be scheduled efficiently, GPU and CPU resources are shared, and distributed training across multiple nodes is straightforward. ... -
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mapcn
Beautiful map components, 100% Free, Zero config, one command setup
mapcn is a research-oriented project centered on mapping continuous control in reinforcement learning to structured policies using neural networks. It explores how high-dimensional action spaces can be decomposed into structured primitives that can be learned, composed, and reused across different tasks. The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability. The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. ... -
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Qualify
Claude code to help you do lead research and qualification
Qualify is a lightweight micro-CRM prototype and automation framework geared toward helping small teams and individual users manage leads, tasks, customer interactions, and simple sales pipelines without the overhead of traditional enterprise platforms. Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time building relationships and less time navigating interface complexity. Built with simplicity and extensibility in mind, the project includes REST APIs, database models, and a user interface that can be extended or embedded into existing internal systems. ... -
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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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ZAPI
ZAPI by Adopt AI is an open-source Python library
...It integrates smoothly into modern development stacks, supports hot reloading for rapid iteration, and includes a command-line toolchain for scaffolding new endpoints or services with sensible defaults. The framework also supports plugin extensions that add things like rate limiting, caching layers, and telemetry without cluttering core code. -
15
SteadyDancer
Harmonized and Coherent Human Image Animation
...By differentiating between intentional rhythmic motion and unintentional instability, SteadyDancer applies adaptive filtering that enhances video quality without flattening the core movement dynamics. The system can be used both in preprocessing pipelines for content creators and in live feedback loops for performers, giving dancers and videographers a tool to refine their visual outputs. It supports integration with standard video formats and includes customizable parameters so users can tune stabilization aggressiveness. -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. ... -
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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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Qwen3-VL-Embedding
Multimodal embedding and reranking models built on Qwen3-VL
Qwen3-VL-Embedding (with its companion Qwen3-VL-Reranker) is a state-of-the-art multimodal embedding and reranking model suite built on the open-sourced Qwen3-VL foundation, developed to handle diverse inputs including text, images, screenshots, and videos. The core embedding model maps such inputs into semantically rich vectors in a unified representation space, enabling similarity search, clustering, and cross-modal retrieval. The reranking model then precisely scores relevance between a given query and candidate documents, enhancing retrieval accuracy in complex multimodal tasks. Together, they support advanced information retrieval workflows such as image-text search, visual question answering (VQA), and video-text matching, while providing out-of-the-box support for more than 30 languages. -
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X For You Feed Algorithm
Algorithm powering the For You feed on X
X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. ... -
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Christmas Tree
Just a simple Christmas tree, based on reddit story
atree is a lightweight JavaScript library for managing and visualizing hierarchical tree data structures in a flexible and efficient way. It offers core abstractions for creating nodes, building parent–child relationships, and traversing trees with utilities for depth, breadth, and custom iteration strategies. Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for representing and interacting with nested data. ... -
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Krypt
Build a Web 3.0 React Solidity blockchain application
...The project emphasizes end-to-end learning: from authoring and compiling a smart contract, to deploying it, and then interacting with it via web3 libraries in React. It demonstrates core patterns like sending transactions, reading on-chain state, and providing user feedback for pending and confirmed operations. The codebase is structured to be approachable for newcomers while still exposing real-world concerns such as network switching and account permissions. Collaboration and Q&A are encouraged through the repo’s community channels, making it a practical launchpad for first-time Web3 builders. -
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OpenAI Realtime Embedded
Instructions on how to use the Realtime API on Microcontrollers
...The repo includes pointers to an ESP32 implementation (maintained as esp32 branch) and documentation that Espressif offers an official example in openai_demo. It does not appear to include a full cross-platform embedded SDK in the main branch (the core content is mostly links and minimal README), but acts as a launching point for integrating realtime on microcontrollers. -
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ExpressJS.com
The Express.js Website
...Versioned docs help readers match API behavior to the framework version they’re running, reducing confusion during upgrades. The site showcases common patterns through concise examples, making it easy to translate concepts into working code. In addition to core Express usage, the documentation surfaces ecosystem guidance on things like security headers, structured logging, and integration with view engines or ORMs. Because it is open to community contributions, the documentation evolves alongside Express itself, reflecting real-world questions and solutions. -
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Swift Guide
Swift Featured Projects in brain Mapping
SwiftGuide is a comprehensive, community-maintained guide to the Swift programming language, designed to serve as both a learning resource and a handy reference. It covers all major language aspects: syntax, control flow, functions, closures, generics, protocols, extensions, memory management, concurrency, and the standard library. Each topic typically includes clear explanations, annotated code snippets, and tips for best practices, helping readers understand both how features work and how... -
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CUDA API Wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
CUDA API Wrappers is a C++ library providing high-level, modern wrappers for NVIDIA’s CUDA runtime and driver APIs, enhancing usability and efficiency. It is intended for those who would otherwise use these APIs directly, to make working with them more intuitive and consistent, making use of modern C++ language capabilities, programming idioms, and best practices. In a nutshell - making CUDA API work more fun.
