Posts

  • Jan 7, 2023

    Torch-Pruning

    Structural Pruning for Model Acceleration

    • Channel pruning for CNNs (e.g. ResNet, DenseNet, Deeplab) and Transformers (e.g. ViT)
    • High-level pruners: MagnitudePruner, BNScalePruner, GroupPruner, etc.
    • Graph Tracing and dependency fixing.
    • Supported modules: Conv, Linear, BatchNorm, LayerNorm, Transposed Conv, PReLU, Embedding, MultiheadAttention, nn.Parameters and customized modules.
    • Supported operations: split, concatenation, skip connection, flatten, etc.
    • Pruning strategies: Random, L1, L2, etc.
    • Low-level pruning functions
    • Benchmarks and tutorials

    Tags: #python • pytorch • pruning

  • Jan 7, 2023

    pywebcopy

    Locally saves webpages to your hard disk with images, css, js & links as is.

    PyWebCopy will examine the HTML mark-up of a website and attempt to discover all linked resources such as other pages, images, videos, file downloads - anything and everything. It will download all of theses resources, and continue to search for more. In this manner, WebCopy can “crawl” an entire website and download everything it sees in an effort to create a reasonable facsimile of the source website.

    Tags: #python • webpage • html

  • Jan 7, 2023

    Obfuscapk

    An automatic obfuscation tool for Android apps that works in a black-box fashion, supports advanced obfuscation features and has a modular architecture easily extensible with new techniques

    Obfuscapk is adding support for Android App Bundles (aab files) by using BundleDecompiler (see #121). In order to use this new feature, download the latest version of BundleDecompiler available from here, save it as BundleDecompiler.jar in a directory included in PATH (e.g., in Ubuntu, /usr/local/bin or /usr/bin) and make sure it has the executable flag set.

    NOTE: BundleDecompiler doesn’t work on Windows yet, so app bundle obfuscation is not supported by Obfuscapk on Windows platform. Also, app bundle support is still in early development, so if you faced any problems or if you want to help us improve, please see contributing.

    Tags: #python • android • application

  • Jan 6, 2023

    tweets_analyzer

    Tweets metadata scraper & activity analyzer

    The goal of this simple python script is to analyze a Twitter profile through its tweets by detecting:

    • Average tweet activity, by hour and by day of the week
    • Timezone and language set for the Twitter interface
    • Sources used (mobile application, web browser, …)
    • Geolocations
    • Most used hashtags, most retweeted users and most mentioned users
    • Friends analysis based on most frequent timezones/languages

    There are plenty of things that could be added to the script, feel free to contribute! 👍

    Tags: #python • twitter • analysis

  • Jan 6, 2023

    pylive

    Query and control Ableton Live from Python

    NOTE: Work is currently underway on updating pylive to interface with AbletonOSC for Live 11 support, hopefully for completion in December 2022.

    PyLive is a framework for querying and controlling Ableton Live from a standalone Python script, mediated via Open Sound Control. It is effectively an interface to the Live Control Surfaces paradigm, which means it can do anything that a hardware control surface can do, including:

    • query and modify global parameters such as tempo, volume, pan, quantize, arrangement time
    • query and modify properties of tracks, clips, scenes and devices
    • trigger and stop clips and scenes

    It can perform most of the operations described in the LiveOSC OSC API.

    If you are looking simply to send MIDI messages to Live, this module is not what you want. Instead, try setting up a virtual MIDI bus and using isobar to generate MIDI sequences.

    Tags: #python

  • Jan 6, 2023

    email_reply_parser

    Small library to parse plain text email content

    EmailReplyParser is a small library to parse plain text email content. See the rocco-documented source code for specifics on how it works.

    This is what GitHub uses to display comments that were created from email replies. This code is being open sourced in an effort to crowdsource the quality of our email representation.

    See the Ruby docs for more information.

    Tags: #ruby

  • Jan 5, 2023

    Basic implementation of Neural Architecture Search with Reinforcement Learning.

    Basic implementation of Controller RNN from Neural Architecture Search with Reinforcement Learning and Learning Transferable Architectures for Scalable Image Recognition.

    • Uses Keras to define and train children / generated networks, which are defined in Tensorflow by the Controller RNN.
    • Define a state space by using StateSpace, a manager which adds states and handles communication between the Controller RNN and the user.
    • Controller manages the training and evaluation of the Controller RNN
    • NetworkManager handles the training and reward computation of a Keras model

    Tags: #python • neural-architecture-search • keras

  • Jan 5, 2023

    Transfer-Learning-Library

    Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

    Tags: #python • domain-adaptation • transfer-learning

  • Jan 5, 2023

    howitzer

    A Ruby-based framework for acceptance testing

    • Independent of a web application technical stack, language and architecture.
    • Fast installation and configuration of the complete testing infrastructure (takes less than 5 minutes).
    • Elegant, intuitive and powerful Ruby language underneath.
    • Possibility to choose your favorite BDD tool (Cucumber, RSpec or Turnip).
    • Integration with SauceLabs, Testingbot, BrowserStack, CrossBrowserTesting, LambdaTest cloud services.
    • Integration with MailGun, Gmail, Mailtrap email services.
    • Easy tests support based on the best patterns, techniques, principles.
    • Ability to execute tests against to both browserless driver and actual browsers with no changes in your tests.

    Tags: #ruby • howitzer • cucumber

  • Jan 4, 2023

    phpipam

    phpipam development repository

    Website: https://phpipam.net/

    Tags: #php • ipam • management-system

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