alishahin Goto Github PK

2021

ASVspoof 2021 Baseline Systems

adult_neuralnet

Simple pyTorch neural net implementation to Adult dataset

ali-shahin-shamsabadi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

alishahin.github.io

Webpage of Ali Shahin Shamsabadi.

colorfool

PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020

darknetz

runs several layers of a deep learning model in TrustZone

deepprivinf2017

Deep Private Inference.

differentiable-rgb-to-hsv-convertion-pytorch

A pytorch implementation that converts image RGB color space into HSV allowing differentiable back-propagate

dpfe

Implementation of "Deep Private-Feature Extraction (DPFE)"

edgefool-1

Official implementation of EDGEFOOL: AN ADVERSARIAL IMAGE ENHANCEMENT FILTER in PyTorch, ICASSP2020

filterfool

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

handcrafted-dp

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mnemonist

Implementation of Mnemonist: Locating Model Parameters that Memorize Training Examples, UAI2023

models

Models and examples built with TensorFlow

opacus

Training PyTorch models with differential privacy

p-fgsm

pase

Problem Agnostic Speech Encoder

pretty-print-confusion-matrix

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

privacy

Library for training machine learning models with privacy for training data

privedge

Implementation of PrivEdge in Keras, IEEE TIFS.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-msssim

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

resmlp-pytorch

ResMLP: Feedforward networks for image classification with data-efficient training

ssim-map-calculation-of-an-image-in-python

This is the exact Python version of the following MATLAB code: https://ece.uwaterloo.ca/~z70wang/research/ssim/ssim_index.m SSIM index is a full reference image quality index. For more details, refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to Structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004. In the above Python version of the code, constants used are the default constants as mentioned in the MATLAB code. Usage: ssim_index, ssim_map = cal_ssim(img1, img2) img1, img2 are single channel or RBG image

subjectiveeval

subjectiveeval2

wage.pytorch

Reproduction of WAGE in PyTorch.