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  • jdxcode/tmux-weatherjdxcode avatar

    jdxcode/tmux-weather

    34View on GitHub↗

    Show weather in tmux status line. No powerline needed.

    Status Bar Plugins
    View on GitHub↗34
  • infiniroot/ansible-mitigate-copyfail-dirtyfragI

    infiniroot/ansible-mitigate-copyfail-dirtyfrag

    0View on GitHub↗
    Kernel Exploitation Tools
    View on GitHub↗0
  • ngageoint/opensphereN

    ngageoint/opensphere

    0View on GitHub↗
    JavaScript Geospatial Visualization
    View on GitHub↗0
  • angoca/db2-cheat-sheetA

    angoca/db2-cheat-sheet

    0View on GitHub↗
    Databases and Data
    View on GitHub↗0
  • ace-who/rime-xumaAce-Who avatar

    Ace-Who/rime-xuma

    71View on GitHub↗

    发布地址 · 项目主页 · 更新日志 · 徐码文档 · 徐码五二顶

    Shape Based Input
    View on GitHub↗71
  • mitotic/pyxtermmitotic avatar

    mitotic/pyxterm

    32View on GitHub↗

    A terminal written in javascript with a python backend

    Terminal Emulators
    View on GitHub↗32
  • sija/blurhash.crSija avatar

    Sija/blurhash.cr

    26View on GitHub↗

    A pure Crystal implementation of BlurHash algorithm

    Algorithms and Data Structures
    View on GitHub↗26
  • be-marc/leaflet.opacitybe-marc avatar

    be-marc/leaflet.opacity

    4View on GitHub↗

    leaflet.opacity extends the leaflet R package with the Leaflet.OpacityControls JavaScript plugin (LizardTech, 2013). It offers control buttons and a slider for adjusting the opacity of a layer.

    Geospatial Mapping
    View on GitHub↗4
  • minyoungg/selfconsistencyminyoungg avatar

    minyoungg/selfconsistency

    197View on GitHub↗

    Minyoung Huh 12 , Andrew Liu 1 , Andrew Owens 1 , Alexei A. Efros 1 In ECCV 2018. UC Berkeley, Berkeley AI Research 1 Carnegie Mellon University 2 In this paper, we introduce a self-supervised method for learning to detect visual manipulations using only unlabeled data. Given a large collection…

    Computer Vision ResearchGeneral Self-Supervised Tasks
    View on GitHub↗197
  • yuribrunetto/next-starterYuriBrunetto avatar

    YuriBrunetto/next-starter

    27View on GitHub↗

    🚀 boilerplate for starting projects in next.js

    Boilerplates
    View on GitHub↗27
  • spbail/dag-stackspbail avatar

    spbail/dag-stack

    166View on GitHub↗

    Demo data pipeline with dbt, Airflow, Great Expectations.

    Sample Projects
    View on GitHub↗166
  • malachib/util.embeddedmalachib avatar

    malachib/util.embedded

    6View on GitHub↗

    Util.Embedded

    Core Embedded Libraries
    View on GitHub↗6
  • thomaswormald/grpc-browserT

    thomaswormald/grpc-browser

    0View on GitHub↗
    Dotnet Frameworks
    View on GitHub↗0
  • thuml/mddthuml avatar

    thuml/MDD

    142View on GitHub↗

    Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

    Domain Adaptation Theory
    View on GitHub↗142
  • 16eagle/movevis1

    16EAGLE/moveVis

    0View on GitHub↗
    R Spatial Analysis Tools
    View on GitHub↗0
  • theacharya/markerdataTheAcharya avatar

    TheAcharya/MarkerData

    65View on GitHub↗

    The avant-garde Marker extraction application crafted for Final Cut Pro

    Audio and VideoAudio Video Tools
    View on GitHub↗65
  • jj1bdx/tinymt-erlangjj1bdx avatar

    jj1bdx/tinymt-erlang

    26View on GitHub↗

    This software is no longer maintained. For archive/reference use only. -- Tiny Mersenne Twister (TinyMT) for Erlang

    Algorithms and Data Structures
    View on GitHub↗26
  • antichown/burp-payloadsantichown avatar

    antichown/burp-payloads

    128View on GitHub↗

    Burp Payloads

    Payload Management
    View on GitHub↗128
  • tomsteele/burpbuddytomsteele avatar

    tomsteele/burpbuddy

    158View on GitHub↗

    burpbuddy exposes Burp Suites's extender API over the network through various mediums, with the goal of enabling development in any language without the restrictions of the JVM

    Extender API ToolsScripting and Automation
    View on GitHub↗158
  • baeheesun/npcBaeHeeSun avatar

    BaeHeeSun/NPC

    24View on GitHub↗

    Official PyTorch implementation of "From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model" (ICML 2022) by HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, and Il-Chul Moon.

    Robust Learning Frameworks
    View on GitHub↗24
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