shamim-hussain
Md Shamim Hussain is a Ph.D. student in Computer Science at Rensselaer Polytechnic Institute, NY. He got his B.Sc. and M.Sc. in EEE from BUET, Dhaka.
Rensselaer Polytechnic InstituteTroy, New York, USA
Pinned Repositories
4x_superresolution_cnn
Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
ask_psk_modem
Simulation of ASK (Amplitude Shift Keying) and PSK (Phase Shift Keying) modulation and demodulation in Labcenter Proteus.
async_admm_consensus
Asynchronous ADMM for Consensus Optimization
egt
Edge-Augmented Graph Transformer
egt_pytorch
Edge-Augmented Graph Transformer
graphene_bulk_nanoribbon_tightbinding
Nearest neighbor tight-binding estimation of band structures of bulk and nano-ribbon (Armchair and Zigzag) graphene.
musan_investigation_cnn_rnn
Evaluation of the classification performance (Speech, Music, and Noise) of 1D (WaveNet) and 2D (MobileNet) CNN and RNN (GRU) on the MUSAN corpus.
speech_dereverbaration_using_lp_residual
This is a single channel speech dereverberation method based on DOI: 10.1109/TSA.2005.858066; implemented in MATLAB
ssa
Stochastically Subsampled Self-Attention (SSA)
tgt
Triplet Graph Transformer
shamim-hussain's Repositories
shamim-hussain/egt_pytorch
Edge-Augmented Graph Transformer
shamim-hussain/egt
Edge-Augmented Graph Transformer
shamim-hussain/speech_dereverbaration_using_lp_residual
This is a single channel speech dereverberation method based on DOI: 10.1109/TSA.2005.858066; implemented in MATLAB
shamim-hussain/tgt
Triplet Graph Transformer
shamim-hussain/musan_investigation_cnn_rnn
Evaluation of the classification performance (Speech, Music, and Noise) of 1D (WaveNet) and 2D (MobileNet) CNN and RNN (GRU) on the MUSAN corpus.
shamim-hussain/ask_psk_modem
Simulation of ASK (Amplitude Shift Keying) and PSK (Phase Shift Keying) modulation and demodulation in Labcenter Proteus.
shamim-hussain/async_admm_consensus
Asynchronous ADMM for Consensus Optimization
shamim-hussain/ssa
Stochastically Subsampled Self-Attention (SSA)
shamim-hussain/graphene_bulk_nanoribbon_tightbinding
Nearest neighbor tight-binding estimation of band structures of bulk and nano-ribbon (Armchair and Zigzag) graphene.
shamim-hussain/kronig_penney
Band diagrams of a simple 1D crystal obtained from Kronig-Penney model
shamim-hussain/parallel-apriori-with-cuda-and-mpi
A Parallel Implementation of The Apriori Algorithm on AiMOS Supercomputer Using CUDA and MPI
shamim-hussain/8bit_MSAP
8 bit MSAP Microprocessor
shamim-hussain/audioset_speech_music_noise
Assigning Speech Music and Noise Labels to Audioset
shamim-hussain/fpga_fft_spectrum_analyzer
This project implements the fft algorithm on the Spartan 3E FPGA (Papillio One Platform) which in turn is used as a spectrum analyzer with some added hardware (e.g. ADC).
shamim-hussain/4x_superresolution_cnn
Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
shamim-hussain/audioset_coarse_grained_classification
Coarse Grained Classification of the Audioset Dataset into Speech, Music and Noise Classes
shamim-hussain/generative_neural_networks
Investigation into Generative Neural Networks.
shamim-hussain/model_parameter_estimation_sgd
Determination the poles of Auto-Regressive Systems in Noise and poles and zeros of Auto-Regressive Moving Average system by SGD in Frequency Domain.
shamim-hussain/newton_raphson_real_roots
Solution of higher order polynomial equation for real roots and determination of their multiplicities by the Newton-Raphson method.
shamim-hussain/rbm-pytorch
An Implementation of Restricted Boltzmann Machine with Pytorch
shamim-hussain/BrainyAI
a free and open-source browser sidebar plugin that offers a cost-free alternative to products like Sider, Monica, and Merlin.
shamim-hussain/conditional_vae
A Simple Conditional Variation Autoencoder
shamim-hussain/Graphormer
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
shamim-hussain/shamim-hussain.github.io
My Personal Website
shamim-hussain/tgt-0
shamim-hussain/Transformer-M
Fork of One Transformer Can Understand Both 2D & 3D Molecular Data