Posts

  • HTMLPurifierBundle

    HTML Purifier is a standards-compliant HTML filter library written in PHP.

    This bundle integrates HTMLPurifier into Symfony.

    Tags: #php • htmlpurifier • symfony

  • mycroft-precise

    A lightweight, simple-to-use, RNN wake word listener

    A lightweight, simple-to-use, RNN wake word listener.

    Precise is a wake word listener. Like its name suggests, a wake word listener’s job is to continually listen to sounds and speech around the device, and activate when the sounds or speech match a wake word. Unlike other machine learning hotword detection tools, Mycroft Precise is fully open source. Take a look at a comparison here.

    Tags: #python • wake-word-detection • keyword-spotting

  • incubator-streampipes

    Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.


    Tags: #java • iot • analytics

  • detecto

    Build fully-functioning computer vision models with PyTorch

    To install Detecto using pip, run the following command:

    pip3 install detecto

    Installing with pip should download all of Detecto’s dependencies automatically. However, if an issue arises, you can manually download the dependencies listed in the requirements.txt file.

    Tags: #python • object-detection • machine-learning

  • php-apk-parser

    Read basic info about an application from .apk file.

    This package can extract application package files in APK format used by devices running on Android OS. It can open an APK file and extract the contained manifest file to parse it and retrieve the meta-information it contains like the application name, description, device feature access permission it requires, etc.. The class can also extract the whole files contained in the APK file to a given directory.

    Tags: #php • apk-parser • extract

  • gulp-replace

    A string replace plugin for gulp

    A string replace plugin for gulp 3

    Tags: #javascript

  • labeler

    An action for automatically labelling pull requests

    Pull request labeler triages PRs based on the paths that are modified in the PR.

    Note that only pull requests being opened from the same repository can be labeled. This action will not currently work for pull requests from forks – like is common in open source projects – because the token for forked pull request workflows does not have write permissions.

    Tags: #typescript

  • combine

    Tool to gather Threat Intelligence indicators from publicly available sources

    Installation on Unix and Unix-like systems is straightforward. Either clone the repository or download the latest release. You will need pip and the python development libraries. In Ubuntu, the following commands will get you prepared:

    sudo apt-get install python-dev python-pip python-virtualenv git
    git clone https://github.com/mlsecproject/combine.git
    cd combine
    virtualenv venv
    source venv/bin/activate
    pip install -r requirements.txt
    

    At this point you should be ready to run Combine.

    We also have a dockerfile available.

    Tags: #python

  • aitextgen

    A robust Python tool for text-based AI training and generation using GPT-2.

    A robust Python tool for text-based AI training and generation using OpenAI’s GPT-2 architecture.

    aitextgen is a Python package that leverages PyTorch, Hugging Face Transformers and pytorch-lightning with specific optimizations for text generation using GPT-2, plus many added features. It is the successor to textgenrnn and gpt-2-simple, taking the best of both packages:

    • Finetunes on a pretrained 124M GPT-2 model from OpenAI…or create your own GPT-2 model + tokenizer and train from scratch!
    • Generates text faster than gpt-2-simple and with better memory efficiency! (even from the 1.5B GPT-2 model!)
    • With Transformers, aitextgen preserves compatibility with the base package, allowing you to use the model for other NLP tasks, download custom GPT-2 models from the Hugging Face model repository, and upload your own models! Also, it uses the included generate() function to allow a massive amount of control over the generated text.
    • With pytorch-lightning, aitextgen trains models not just on CPUs and GPUs, but also multiple GPUs and (eventually) TPUs! It also includes a pretty training progress bar, with the ability to add optional loggers.
    • The input dataset is its own object, allowing you to not only easily encode megabytes of data in seconds, cache, and compress it on a local computer before transporting to a remote server, but you are able to merge datasets without biasing the resulting dataset, or cross-train on multiple datasets to create blended output.

    You can read more about aitextgen in the documentation!

    Tags: #python

  • react-google-login

    A React Google Login Component

    A Google oAUth Sign-in / Log-in Component for React

    Tags: #javascript • react • googleuser

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