Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

Introduction This is the official implementation of the paper “Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation“. Installation This repo is built using mmdetection.To install the dependencies, first clone the repository locally: git clone https://github.com/anirudh-chakravarthy/objprop.git Then, install PyTorch 1.1.0, torchvision 0.3.0, mmcv 0.2.12: conda install pytorch==1.1.0 torchvision==0.3.0 -c pytorch pip install mmcv==0.2.12 Then, install the CocoAPI for YouTube-VIS conda install cython scipy pip install git+https://github.com/youtubevos/cocoapi.git#”egg=pycocotools&subdirectory=PythonAPI”    

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Create large-scale ML-driven multiscale simulation ensembles to study the interactions

MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI frameworkdeveloped to create large-scale ML-driven multiscale simulation ensembles tostudy the interactions of RAS proteins and RAS-RAF protein complexes with lipidplasma membranes. MuMMI framework was developed as part of the Pilot2 project of theJoint Design of Advanced Computing Solutions for Cancerfunded jointly by the Department of Energy (DOE) and theNational Cancer Institute (NCI). The Pilot 2 project focuses on developing multiscale simulation models forunderstanding the […]

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Fayntuning code of the original CLIP into Russian

О чем репозиторий В этом репозитории представлен способ файтюнить оригинальный CLIP на новый язык Почему модель не видит женщину и откуда на картинке с текстом слон? Основные особенности: Используются оригинальные картиночные и текстовые трансформеры; Поэтому есть возможность использовать оригинальные эмбединги картинок, а тексты обучать или дообучать на требуемый язык. Что ожидалось? Для обучения трансформера русскому языку будет достаточно 3.7 млн пар картинка-текст; Будет использована вся сила исходных картиночных эмбедингов, обученных на сотнях миллионов пар картинка-текст; Сохранится скорость и качество работы […]

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Basic calculator to test my knowledge of python

Calculadora básica pra testar meus conhecimentos sobre python Olá! Pra melhor experiência, rode a script no seu terminal. Instalação, Clonagem e Acesso $ pkg upgrade $ pkg update $ pkg install git $ pkg install python $ git clone https://github.com/yScottLuc/CalcuPython $ cd CalcuPython $ python3 CalcuPython.py GitHub View Github    

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Nyx-Net: Network Fuzzing with Incremental Snapshots

Nyx-Net is fast full-VM snapshot fuzzer for complex network based targets. It’s built upon kAFL, Redqueen and Nyx. The approach is described in more detail in our paper. This repository is serving only to capture the state as described in the paper. If you want to actually use Nyx, check out the maintained code released for the Nyx framework or it’s Homepage. @misc{nyxnet, title={Nyx-Net: Network Fuzzing with Incremental Snapshots}, author={Sergej Schumilo and Cornelius Aschermann and Andrea Jemmett and Ali   […]

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Thinky nature dots with python

Welcome to my rice dotfiles of my ThinkPad X230 You surely will need to change some configs to fit your files and stuff and maybe tweak the icons on polybar so be ready to do that. Most of the other things should be self explanatory. Screenshot may have slightly other colors than the screenshot ^^ Dependencies Fonts FiraCode Nerd Font Material Design Icons FontAwesome Software Window Manager: i3-radius/gaps Editor: neovim Fetch: fet.sh Application Menu: rofi Notifications: dunst Top Bar: polybar […]

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A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Introduction Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not    

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Machine Translation Weekly 93: Notes from EMNLP 2021

Another big NLP conference is over and here are my notes about the paper that I liked the most. My general impression was sort of similar to what I got from ACL this year. It seems to me that the field is progressing towards some behavioral understanding of what the neural models do, which allows doing some cool tricks that it was hardly possible to think of, only a few years ago. Excellent examples are tricks with adapters or non-parametric […]

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