Search Results for "tiny-core-plus" - Page 58

Showing 30146 open source projects for "tiny-core-plus"

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  • 1
    Nothing Ever Happens

    Nothing Ever Happens

    Focused async Python bot for Polymarket

    ...The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. The bot includes a safety-oriented design with explicit environment variable requirements to enable live trading, ensuring that users consciously opt into real financial risk, along with a paper trading mode for testing without capital exposure.
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  • 2
    Gameboy

    Gameboy

    Full featured Cross-platform GameBoy emulator by Rust

    ...It is designed as a clean implementation of the Game Boy architecture, typically written in a high-level language such as Python or Rust depending on the version, making it approachable for developers studying emulator design. The project emphasizes core components such as CPU instruction decoding, memory management, and basic graphics rendering, providing insight into how the original hardware operates. It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. Compared to more advanced emulators, it may lack full feature parity or optimization, but it compensates with readability and conceptual transparency. ...
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  • 3
    mruby

    mruby

    Lightweight Ruby

    ...The system includes its own virtual machine, bytecode compiler, and interactive shell, enabling developers to write, compile, and execute Ruby code efficiently. One of its core strengths is its embeddability, allowing developers to integrate scripting capabilities directly into applications written in C or C++. mruby also includes a package system called mrbgems, which enables modular extension of functionality through additional libraries. It supports compiling Ruby scripts into bytecode or even C source code, providing flexibility for deployment in different environments.
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  • 4
    PromptBin

    PromptBin

    A free guide for learning to create ChatGPT3 Prompts

    PromptBin is an open-source prompt engineering resource and lightweight web application designed to help users discover, organize, and reuse effective prompts for large language models like ChatGPT. At its core, the project acts as a curated and structured library of prompts across a wide variety of use cases, including writing, brainstorming, debugging, and coding, making it particularly useful for both beginners and advanced users. The repository is also intended as a foundation for building custom prompt management systems, allowing developers or teams to fork and adapt it into internal tools or client-facing solutions. ...
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  • 5
    ShoppingAgent

    ShoppingAgent

    Custom Chinese chatbot with Seq2Seq, GPT, and agent features

    ...ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving developers flexibility in how they train and deploy models. In addition to core chatbot functionality, the project introduces agent-based capabilities, enabling practical use cases like automated workflows and task-oriented assistants. It also includes support for small language models and local training scripts, making it accessible for users with limited computational resources. ShoppingAgent can be applied to scenarios such as customer service, question answering, and casual conversation.
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  • 6
    course.fast.ai

    course.fast.ai

    The fast.ai course notebooks

    course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze results directly in Jupyter notebooks. The repository includes lesson notebooks, slide presentations, spreadsheets, and supplementary materials that help students understand neural networks, computer vision, and natural language processing tasks. ...
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  • 7
    Deep Learning Interviews book

    Deep Learning Interviews book

    Hundreds of fully solved job interview questions

    ...Each question is accompanied by detailed solutions that explain the reasoning behind the answers and the theoretical concepts involved. In addition to interview preparation, the material also serves as a condensed overview of many core topics taught in graduate-level machine learning programs.
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  • 8
    Glob

    Glob

    glob functionality for node.js

    ...The library supports complex patterns such as recursive directory matching, brace expansion, and character ranges, making it suitable for build tools, CLIs, and automation scripts. node-glob is optimized for performance and reliability when traversing large file trees, and it exposes both asynchronous and synchronous APIs. Because of its maturity and flexibility, it is a foundational dependency in many JavaScript tooling ecosystems. Overall, node-glob serves as a core filesystem discovery utility for Node.js applications that rely on pattern-based file matching.
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  • 9
    Plano

    Plano

    Delivery infrastructure for agentic apps

    ...It removes repetitive plumbing work from application code by centralizing capabilities such as agent routing, orchestration, guardrails, observability, and model selection. Built on modern proxy technology and compatible with any language or AI framework, Plano enables developers to focus on core agent logic instead of infrastructure complexity. The system provides intelligent LLM routing APIs that support model agility, along with filter chains for safety, moderation, and memory hooks. It also exposes rich traces, metrics, and logs to support continuous improvement of agent behavior in production. Overall, Plano functions as delivery infrastructure for scalable, maintainable AI agent systems.
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  • 10
    trackers

    trackers

    Multi-object tracking algorithms

    ...Trackers is built for flexibility and benchmarking, allowing users to evaluate performance using standard multi-object tracking metrics and compare algorithms easily. Its architecture emphasizes interoperability so developers can combine their preferred detection models with different trackers without rewriting core logic.
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  • 11
    CS-Books

    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. ...
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  • 12
    Synkra AIOS

    Synkra AIOS

    AI-Orchestrated System for Full Stack Development

    Synkra AIOS is the central framework of Synkra AIOS, an AI-orchestrated system built to streamline full-stack application development by using artificial intelligence to automate and enhance development workflows. It acts as a core foundation layer that connects AI-driven tooling with standard project infrastructure tasks, enabling developers to scaffold, configure, and maintain software stacks more efficiently. The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. ...
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  • 13
    SimpleLLM

    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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  • 14
    bu-agent-sdk

    bu-agent-sdk

    An agent is just a for-loop

    The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. ...
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  • 15
    Marksheet

    Marksheet

    Free tutorial to learn HTML and CSS

    MarkSheet is a beginner-friendly curriculum for learning HTML and CSS from first principles, organized as a readable online handbook. It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate concepts without burying readers in boilerplate. ...
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  • 16
    Resources-Front-End-Beginner

    Resources-Front-End-Beginner

    The most essential list of resources for Front-End beginners

    ...It also highlights community spaces and reference material to encourage collaboration and long-term growth. Clear signposting and simple emoji markers help readers gauge difficulty and format at a glance. Beginner friendliness is the core goal, lowering friction for first contributions and steady skill progression.
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  • 17
    jstraining

    jstraining

    Training materials designed to teach JavaScript

    jstraining is a curated set of training materials designed to teach JavaScript with a practical, hands-on approach. It organizes slides, exercises, and example projects into a progressive curriculum that moves from language fundamentals to tooling and best practices. Learners write code early and often, reinforcing concepts like functions, objects, modules, and asynchronous control flow. The repository encourages modern syntax and patterns while keeping examples small enough to digest in a...
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  • 18
    SYSADMIN Test Questions

    SYSADMIN Test Questions

    A collection of Linux Sysadmin Test Questions and Answers

    This repository is a large, curated set of Linux/*nix system administration questions and answers organized as an informal self-test. It spans fundamentals like filesystems, permissions, processes, and networking, then ventures into security, performance, virtualization, containers, and databases. The format encourages quick drills: pick a topic, answer from memory, then compare against concise explanations. Many questions highlight real-world troubleshooting patterns rather than purely...
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  • 19
    Design Patterns for Humans

    Design Patterns for Humans

    An ultra-simplified explanation to design patterns

    Design Patterns for Humans is a developer-friendly guide that explains classic software design patterns using plain language, intuitive analogies, and succinct code examples. Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each...
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  • 20
    mslearn-tailspin-spacegame-web

    mslearn-tailspin-spacegame-web

    Code used in Microsoft Learn modules to support Azure DevOps

    The Tailspin Space Game Web project is a sample application created by Microsoft as part of its learning resources. It’s a web-based game application used in Microsoft Learn modules and documentation to demonstrate concepts such as Azure App Services, continuous integration and delivery (CI/CD) pipelines, and DevOps practices with GitHub Actions and Azure Pipelines. The project is intentionally lightweight and easy to deploy so learners can quickly experiment with cloud deployment, testing,...
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  • 21
    npcpy

    npcpy

    The AI toolkit for the AI developer

    npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also allows one to pass an npc to get_llm_response in addition to using the NPC's wrapped method, allowing you to be flexible in your implementation and testing.
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  • 22
    TanStack Virtual

    TanStack Virtual

    Headless UI for Virtualizing Large Element Lists in JS/TS

    TanStack Virtual is a lightweight, framework-agnostic library that enables high-performance virtualization for long or large lists in web UIs, providing smooth scrolling and responsive rendering by only mounting items visible in the viewport. A headless, framework‑agnostic virtualization library for rendering massive lists, grids, and tables at 60FPS while giving you full control over markup and styles. Virtualizes vertical, horizontal & grid layouts with a single hook/function. Lightweight...
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  • 23
    Hermit Kernel

    Hermit Kernel

    A Rust-based, lightweight unikernel

    Hermit Kernel is the core component of HermitCore, a Rust-based unikernel that runs directly on hypervisors or bare-metal systems to support high-performance cloud and HPC applications. This repository contains the microkernel’s implementation, optimized for running Rust applications natively in a lightweight, single-address-space environment. Hermit Kernel is designed to reduce latency and overhead by avoiding traditional OS abstractions, while still providing essential services such as scheduling, memory management, and networking. ...
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  • 24
    Tock OS

    Tock OS

    A secure embedded operating system for microcontrollers

    Tock is a secure, embedded operating system designed for microcontrollers and low-power hardware platforms. Written in Rust, it uses a novel kernel architecture where the OS runs a minimal trusted core and all userland code, including device drivers, is sandboxed and isolated. Tock is ideal for IoT devices, wearables, and embedded research projects where reliability and safety are critical. Its capability-based security model and preemptive multitasking allow developers to safely run multiple applications on constrained devices with confidence in memory and fault isolation.
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  • 25
    Anoma

    Anoma

    Reference implementation of Anoma

    ...Unlike traditional account-based or UTXO models, Anoma introduces intents as the fundamental units of interaction, allowing participants to express what they want without specifying how it must be achieved. The protocol is designed with privacy, interoperability, and decentralization at its core, and is built using Rust and zero-knowledge cryptography tools. It aims to serve decentralized finance, identity, and coordination systems in a novel and user-centric way.
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