Search Results for "incremental dbscan code"

Showing 7 open source projects for "incremental dbscan code"

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  • 1
    Tundra

    Tundra

    Tundra is a code build system that tries to be accurate and fast

    Tundra is a high-performance code build system designed to give the best possible incremental build times even for very large software projects.
    Downloads: 0 This Week
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  • 2
    Kilo

    Kilo

    A text editor in less than 1000 LOC with syntax highlight and search

    Kilo is a minimalistic terminal text editor written in C, famous for fitting its full implementation into fewer than 1,000 lines of code in a single source file. It was created by Salvatore Sanfilippo (antirez, also known for Redis) as an exercise in writing a small, self-contained editor that others can study and extend. Despite its tiny size, Kilo supports core editor features like opening and saving files, incremental search, and basic syntax highlighting. It deliberately avoids external dependencies, not even using curses; instead it talks directly to the terminal using VT100 escape sequences, making it portable to most Unix-like systems with a compatible terminal. ...
    Downloads: 3 This Week
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  • 3
    Sharp MZ-800 Emulator

    Sharp MZ-800 Emulator

    Emulator of the 8-bit computers Sharp MZ-800 / MZ-700 / MZ-1500

    Source code is no longer updated on SourceForge - all development now happens here on GitHub - https://github.com/michalhucik/mz800emu Open-source emulator of 8-bit personal computers Sharp MZ-800, MZ-700 and MZ-1500. Developed for Linux and Windows using SDL3 (video/audio) and ImGui (GUI). Accurately emulates core hardware: CPU Z80, GDG (WHID 65040-032), CTC i8253, PIO Z80, PIO 8255, PSG SN76489AN - with precise internal signal timing. Supports peripherals: CMT (MZF/MZT/TAP/WAV),...
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    Downloads: 37 This Week
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  • 4
    raspberry-pi-os

    raspberry-pi-os

    Learning operating system development using Linux kernel and Raspberry

    This project provides a step-by-step educational guide on building a simple operating system kernel entirely from scratch, specifically targeting the Raspberry Pi 3. The operating system, referred to as RPi OS, is inspired by the Linux kernel but remains intentionally minimal to focus on clarity and teaching fundamental OS concepts. Each lesson introduces a kernel feature and demonstrates its implementation within RPi OS, followed by a comparison to how the same concept is realized in the...
    Downloads: 4 This Week
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  • 5
    chibicc

    chibicc

    A small C compiler

    chibicc is a small yet highly capable C compiler designed to implement most features of the C11 standard while maintaining a clean and educational codebase. It is intended as both a functional compiler and a learning resource, allowing developers to understand how compilers work by reading and studying its implementation. Despite being categorized as a “toy” compiler, it is powerful enough to compile real-world programs such as Git, SQLite, and libpng without modification. The project is...
    Downloads: 0 This Week
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  • 6
    9cc C compiler

    9cc C compiler

    A Small C Compiler

    9cc is a small and educational C compiler designed to demonstrate the internal workings of a compiler while still being capable of compiling meaningful programs. It serves as a continuation of Rui Ueyama’s series of compiler projects, focusing on clarity and incremental development rather than production-level optimization. The compiler implements essential stages such as lexical analysis, parsing, semantic analysis, and code generation, providing a complete pipeline from source code to executable output. It supports a subset of the C language sufficient to understand real-world compilation concepts, making it a valuable learning resource for developers interested in low-level programming. ...
    Downloads: 0 This Week
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  • 7

    LWPR

    Locally Weighted Projection Regression (LWPR)

    ...Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website.
    Downloads: 1 This Week
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