Aplicação desenvolvida utilizando React e Tailwind CSS, e tem como objetivo simular as principais funcionalidades do Flexbox. Por estar na Versão 1.0, o Flexbox Simulator entrega a base desse poderoso modelo de layout da Web CSS3.
Pytorch implementation for our artwork generation and editing method. The proposed design can 1) model creation workflows for different types of artwork and 2) enable both the image generation and editing at different workflow sta
Garment is a toolkit for building applications using modern tools and scalable development practices. It encourages the monorepo way of building applications and provides a consistent developer experience across projects.
Netenum passively monitors the ARP traffic on the network. It extracts basic data about each active host, such as IP address, MAC address and manufacturer. The main objective of this tool is to find active machines without generat
GitHub now allows you to dynamically update your GitHub profile. Do you want to show the Spotify song you're currently playing? Do you want to show a list of dynamic calendar entries of your next conference speaking gigs
A double-entry bookkeeping computer language that lets you define financial transaction records in a text file, read them in memory, generate a variety of reports from them, and provides a web interface.
Mocking your SQL database in Go tests has never been easier. The copyist library automatically records low-level SQL calls made during your tests. It then generates test code that can play back those calls without connecting to th
DART is a large and open-domain structured DAta Record to Text generation corpus with high-quality sentence annotations with each input being a set of entity-relation triples following a tree-structured ontology.
This repo implements the Plan-to-explore algorithm from Planning to Explore via Self-Supervised World Models based on the PlaNet-Pytorch. It has been confirmed working on the DeepMind Control Suite/MuJoCo environment. Hyperparamet
AdaHessian is a second order based optimizer for the neural network training based on PyTorch. The library supports the training of convolutional neural networks for now and will support transformer-based models soon.
Code for the paper GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples accepted for publication at ACL 2020 - short papers by Danilo Croce (Tor Vergata, University of Rome), Gi
In this repository, we provide the code for ensembling the output of object detection models, and applying test-time augmentation for object detection. This library has been designed to be applicable to any object detection model
OpenFOAM is a free, open source computational fluid dynamics (CFD) software package released by the OpenFOAM Foundation. It has a large user base across most areas of engineering and science, from both commercial and academic orga
SimFin makes it easy to obtain and use financial and stock-market data in Python. It automatically downloads share-prices and fundamental data from the SimFin server, saves the data to disk for future use, and loads the data into
Portrait segmentation refers to the process of segmenting a person in an image from its background. Here we use the concept of semantic segmentation to predict the label of every pixel (dense prediction) in an image. This techniqu
This utility lets one control an IKEA IDÅSEN desk via command line utility. It spawns a small server to keep the connection to the desk alive on first use and reuses that later. This could be improved but is good enough for my pur
The Berlin Ringbahn is a double-tracked commuter rail line which forms a complete ring around the center of the city of Berlin. Similarly, io-uring is a new interface for asynchronous IO with the Linux kernel built on a double rin
Welcome to the Say Their Names project. Our aim is to build an open-source platform that raises awareness of the injustice and often forgotten names of racial inequality at the hands of law enforcement.
Transformers are very succsessfull models that achieve state of the art performance in many natural language tasks. However, it is very difficult to scale them to long sequences due to the quadratic scaling of self-attention.