Showing 61-78 of 78 projects
Barbershop: GAN-based Image Compositing using Segmentation Masks, a Python library for AI-powered image manipulation.
An open-source Python package for extracting radiomics features from 2D and 3D medical images and binary masks.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A set of input control enhancements for React, including autocomplete, autosize, datepicker, and more.
A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
A tiny React component to transform any input into formatted or masked input with support for number, date, phone, currency, etc.
VanillaMasker is a pure JavaScript library for creating input masks, without dependencies.
An extension for Stable Diffusion web UI that performs inpainting using Segment Anything model.
Official implementation of a generative motion modeling framework for 3D human motions.
Angular plugin for creating masks on form fields and HTML elements
A Kotlin library for input masking in Android applications.
A React Native library that provides a text input mask for Android and iOS platforms.
A React Native library that provides a masked view component for rendering content with a transparent hole.
MASS is a pre-training framework for language generation tasks using masked sequence-to-sequence learning.
Provides a wordlist, rules, and masks for password cracking and security research.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
An open-source implementation of the SimMIM framework for self-supervised masked image modeling.
A reusable iOS UI component library for creating secure, stylized code input views with password masking.
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