An Analysis Of The Efficiency Of The COVID-19 Vaccine
Vaccine Efficiency 💉 An analysis o…
Vaccine Efficiency 💉 An analysis o…
Handles PDF to make it compatible with PDF/X and grayscale printers. Dependencies: icc-profiles Ghostscript PDF viewer (in this version we use evince hardcoded) Installation on Debian 11 clone the repository; configure the variables: BASE_DIR: directory where the resources will be;…
Image processing using OpenCv Write a program that opens the webcam, and the user selects one of the following on the video:✅ If the user presses the 1 key: Place a non-square sticker on the face✅ If the user presses…
We propose a SASE model with adaptive noise distribution, which achieves state of the art results on the VioceBank+DEMAND dataset. We simulated the federated learning setting of a real environment and verified the robustness of the proposed SASE noise reduction…
NeurIPS’21: Probabilistic Margins for Instance Reweighting in Adversarial Training (Pytorch implementation). This is the code for the paper: Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang*, Feng Liu*, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou,…
This repository is an exploratory example to train a variational autoencoder to extract meaningful feature representations of anime girl face images. The code architecture is mostly borrowed and modified from Yann Dubois’s disentangling-vae repository. It has nice summarization and comparison of the…
Hey Guys, today I am going to explain to you another GitHub repository i.e. python package helper command-line tool. pypahe: Bonjour Software pypahe is a Python Package Helper command-line tool. Requirements: Docker runtime Usage: print the latest available version of…
In this post today I am going to explaining about another GitHub repository DeepMusic is an easy to use Spotify app to manage and listen to your favourites music. Technically, this project is an Android Client and its entire RPC…
The tedana package is part of the ME-ICA pipeline, performing TE-dependent analysis of multi-echo functional magnetic resonance imaging (fMRI) data. TE-dependent analysis (tedana) is a Python module for denoising multi-echo functional magnetic resonance imaging (fMRI) data. tedana originally came about as…