Posts

  • Oct 12, 2021

    ache

    ACHE is a focused web crawler. It collects web pages that satisfy some specific criteria, e.g., pages that belong to a given domain or that contain a user-specified pattern. ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between relevant and irrelevant pages in a given domain. A page classifier can be from a simple regular expression (that matches every page that contains a specific word, for example), to a machine-learning based classification model. ACHE can also automatically learn how to prioritize links in order to efficiently locate relevant content while avoiding the retrieval of irrelevant content.

    ACHE supports many features, such as:

    • Regular crawling of a fixed list of web sites
    • Discovery and crawling of new relevant web sites through automatic link prioritization
    • Configuration of different types of pages classifiers (machine-learning, regex, etc)
    • Continuous re-crawling of sitemaps to discover new pages
    • Indexing of crawled pages using Elasticsearch
    • Web interface for searching crawled pages in real-time
    • REST API and web-based user interface for crawler monitoring
    • Crawling of hidden services using TOR proxies

    Tags: #java • web-crawler • focused-crawler

  • Oct 12, 2021

    fern-wifi-cracker

    Automatically exported from code.google.com/p/fern-wifi-cracker

    Fern Wifi Cracker is a Wireless security auditing and attack software program written using the Python Programming Language and the Python Qt GUI library. The program is able to crack and recover WEP/WPA/WPS keys and also run other network based attacks on wireless or ethernet based networks

    Tags: #python

  • Oct 12, 2021

    R-Net

    Tensorflow Implementation of R-Net

    Tags: #python • squad • tensorflow

  • Oct 11, 2021

    NoNonsense-FilePicker

    A file/directory-picker for android. Implemented as a library project.

    In Kitkat or above, use Android’s built-in file-picker instead. Google has restricted the ability of external libraries like this from creating directories on external SD-cards in Kitkat and above which will manifest itself as a crash.

    If you need to support pre-Kitkat devices see #158 for the recommendation approach.

    This does not impact the library’s utility for non-SD-card locations, nor does it impact you if you don’t want to allow a user to create directories.

    Tags: #java

  • Oct 11, 2021

    sp-dev-solutions

    Repository for SharePoint development reusable solutions

    Welcome to the SharePoint PnP Community Solutions repository. This repository contains samples and templates you can use as foundations and patterns of solutions for your SharePoint sites.

    Tags: #typescript • hacktoberfest

  • Oct 11, 2021

    black-hole

    WebGL simulation of a Schwarzschild black hole

    In this simulation, the light ray paths are computed by integrating an ODE describing the Schwarzschild geodesics using GLSL on the GPU, leveraging WebGL and three.js. This should result to a fairly physically accurate gravitational lensing effect. Various other relativistic effects have also been added and their contributions can be toggled from the GUI. The simulation has normalized units such that the Schwarzschild radius of the black hole is one and the speed of light is one length unit per second (unless changed using the “time scale” parameter).

    See this page (PDF version) for a more detailed description of the physics of the simulation.

    Tags: #javascript • simulation • webgl

  • Oct 10, 2021

    browser-base

    Modern and feature-rich web browser base based on Electron

    Tags: #typescript • material • browser

  • Oct 10, 2021

    android-shake-detector

    Detect shaking of the device

    Detect shaking of the device

    Tags: #java • android • shake-detection

  • Oct 10, 2021

    jcabi-aspects

    Collection of AOP/AspectJ Java Aspects

    If you have any questions about the framework, or something doesn’t work as expected, please submit an issue here.

    Tags: #java • aop • annotations

  • Oct 9, 2021

    osim-rl

    Reinforcement learning environments with musculoskeletal models

    This repository contains software required for participation in the NeurIPS 2019 Challenge: Learn to Move - Walk Around. See more details about the challenge here. See full documentation of our reinforcement learning environment here. In this document we will give very basic steps to get you set up for the challenge!

    Your task is to develop a controller for a physiologically plausible 3D human model to walk or run following velocity commands with minimum effort. You are provided with a human musculoskeletal model and a physics-based simulation environment, OpenSim. There will be three tracks:

    1) Best performance 2) Novel ML solution 3) Novel biomechanical solution, where all the winners of each track will be awarded.

    To model physics and biomechanics we use OpenSim - a biomechanical physics environment for musculoskeletal simulations.

    Tags: #python • reinforcement-learning • kinematics

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