Aminul Huq's Projects
Adversarial Attacks testing on DNN models
Repo for papers to read on adversarial attack and defense techniques in the audio domain.
PyTorch implementation of multi-class sentiment classification on SST dataset using CNN and RNN.
CVAE implementation on MNIST dataset using PyTorch
PyTorch implementation of DeepFool adversarial attack.
This repo contains sample documents which have been created using Latex
Implementations for the medium blog
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
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.
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
Outline of course works for the Tsinghua Masters in Advanced Computing