Dataset

Datasets from Instructions In Python

Datasets from Instructions This repository contains the code for Generating Datasets with Pretrained Language Models. The paper introduces a method called Datasets from Instructions (DINO sauropod) that enables pretrained language models to generate entire datasets from scratch. 🔧 Setup All requirements for DINO can be found in requirements.txt. You can install all required packages in a new environment with pip install -r requirements.txt. 💬 CLI Usage Single Texts To generate datasets for (single) text classification, you can use DINO as […]

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Automation

A fully automated system that transforms Twitch clips into gaming compilations

TwitchCompilationCreator A fully automated system that transforms Twitch clips into gaming compilations Authors: Christian C., Moritz M., Luca S. About This is our approach of automatically creating compilations of twitch clips (focused on gaming).We are very interested in YouTube, Twitch and Programming so we started this as an experiment, now a few months later we have to say it worked! What did we achieve? We automatically uploaded over 100 videos to our YouTube channel without any human interaction One video […]

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Tool

A Python tool to check if there is an Office 365 instance linked to a domain

o365chk.py Simple Python script to check if there is an Office365 instance linked to a particular domain. There are three possible results: Unknown = No O365 instance for that domainFederated = O365 is federatedManaged = O365 is managed directly by Microsoft Installation and Usage $ git clone https://github.com/nixintel/o365chk && cd o365chk $ pip install -r requirements.txt $ python3 o365chk.py -d example.com Example Output $ python3 o365chk.py -d bbc.co.uk This domain is Federated { “AuthNForwardType”: 1, “AuthURL”: “https://gateway.id.tools.bbc.co.uk/eiam/WSFederationServlet/metaAlias/wsidp2?username=username%40bbc.co.uk&wa=wsignin1.0&wtrealm=urn%3afederation%3aMicrosoftOnline&wctx=”, “CloudInstanceIssuerUri”: “urn:federation:MicrosoftOnline”, “CloudInstanceName”: […]

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Tool

An OSINT tool that allows you to find potential profiles of a person on social networks

Profil3r Profil3r is an OSINT tool that allows you to find potential profiles of a person on social networks, as well as their email addresses. This program also alerts you to the presence of a data leak for the found emails. Installation Install with pip (recommended) pip3 install profil3r Or build from source Recommended for developers. It automatically clones the main branch from the Profil3r repo, and installs from source. # Automatically clone the Profil3r repository and install profil3r from […]

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Jupyter notebooks

notebookJS: seamless JavaScript integration in Python Notebooks

notebookJS notebookJS enables the execution of custom JavaScript code in Python Notebooks (Jupyter Notebook and Google Colab). This Python library can be useful for implementing and reusing interactive Data Visualizations in the Notebook environment. notebookJS takes care of downloading and handling Javascript libraries and CSS stylesheets from the web. Furthermore, it supports bidirectional communication between Python and JavaScript. User interactions in HTML/JavaScript can trigger Python callbacks that process data on demand and send the results back to the front-end code. […]

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Beginner, Classification, Data Science, Machine Learning, NLP, Project, Python, Text

Malawi News Classification -An NLP Project

Classifying Malawi News articles into 19 different classes using SMOTE and SGDClassifier. Introduction Text classification is common among the application that we use on daily basis. For example, email providers use text classification to filter out spam emails from your inbox. The other most common use of text classification is in customer care where they use sentimental analysis to differentiate bad reviews from good reviews ADDI AI 2050. The modern use of text classification list goes on as we have excelled to […]

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Django

Use heroicons in your Django and Jinja templates

heroicons Use heroicons in your Django and Jinja templates. Requirements Python 3.6 to 3.9 supported. Django 2.2 to 3.2 supported. Are your tests slow? Check out my book Speed Up Your Django Tests which covers loads of best practices so you can write faster, more accurate tests. Usage The heroicons package supports both Django templates and Jinja templates. Follow the appropriate guide below. Django templates Install with python -m pip install heroicons[django]. Add to your INSTALLED_APPS: INSTALLED_APPS = [ …, […]

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Scrapy

A repository with scraping code and soccer dataset from understat.com

UNDERSTAT – SHOTS DATASET As many people interested in soccer analytics know, Understat is an amazing source of information. They provide Expected Goals (xG) stats for every shot taken in the top 5 leagues in Europe, as well as the Russian league. After watching an awesome tutorial by McKay Johns (great channel btw, loads of resources for beginners in soccer analytics), I decided to write some code to scrape all the shots data available at Understat. As a consequence I […]

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Voice

Zero-Shot Voice Style Transfer with Only Autoencoder Loss

AutoVC This is an unofficial implementation of AutoVC based on the official one. The D-Vector and vocoder are from yistlin/dvector and yistLin/universal-vocoder respectively. This implementation supports torch.jit, so the full model can be loaded with simply one line: model = torch.jit.load(model_path) Pre-trained models are available here. Preprocessing python preprocess.py [–seg_len seg] [–n_workers workers] data_dir: The directory of speakers. save_dir: The directory to save the processed files. encoder_path: The path of pre-trained D-Vector. seg: The length of segments for training. workers: […]

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