Aminul Huq's repositories
Adversarial-Examples-For-Audio-Data
Repo for papers to read on adversarial attack and defense techniques in the audio domain.
Speech-Command-Classification
Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.
WideResNet_MNIST_Adversarial_Training
WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.
Speech_Command_Recognition
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
Adversarial-Attacks
Adversarial Attacks testing on DNN models
CVAE_pytorch
CVAE implementation on MNIST dataset using PyTorch
Latex_docs_sample
This repo contains sample documents which have been created using Latex
python_for_image_processing_APEER
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
THU--ACM_2019-2021
Outline of course works for the Tsinghua Masters in Advanced Computing
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
WSBIM2243---Mammography-processing
We present methods to preprocess, detect tumours and segment malignant masses for the INbreast dataset.