nhattruongpham
🧬Your origin does not determine what kind of person you are, only you can decide who you become🧬 – Meng Chih Chiang
Sungkyunkwan UniversitySuwon
Pinned Repositories
VLSP_ImageCaptioning
VLSP2021 vieCap4H Challenge: Automatic image caption generation for healthcare domains in Vietnamese
Data_Preprocessing
Pre-processing input data for training Deep Neural Networks
hda-adcrnn-ser
Hybrid Data Augmentation and Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition
mACPpred2
mACPpred 2.0: Stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations
mmser
SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings
mol-lang-bridge
Language and Molecules Translation for Scientific Insight and Discovery
nhattruongpham
SER-Fuse
SER-Fuse: An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion
torchvggish-gpu
Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.
XCT-COVID
Explainable AI for accurate COVID-19 diagnosis with XCT-COVID
nhattruongpham's Repositories
nhattruongpham/hda-adcrnn-ser
Hybrid Data Augmentation and Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition
nhattruongpham/torchvggish-gpu
Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.
nhattruongpham/nhattruongpham
nhattruongpham/mvina
Modified version of AutoDock Vina (Linux version)
nhattruongpham/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
nhattruongpham/awesome-r-learning-resources
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
nhattruongpham/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
nhattruongpham/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
nhattruongpham/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
nhattruongpham/bioinformatics-training-collection
Collection of bioinformatics training materials
nhattruongpham/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
nhattruongpham/EasyMicrobiomeR
Using R language in microbiome analysis
nhattruongpham/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
nhattruongpham/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
nhattruongpham/machine_unlearning
Existing Literature about Machine Unlearning
nhattruongpham/medical-ai-research-foundations
nhattruongpham/modelzoo_continual
Model Zoos for Continual Learning (ICLR 22)
nhattruongpham/osw-1d-prn-shap
This is official source code for the paper entitled "Speech Emotion Recognition using Overlapping Sliding Window and Shapley Additive Explainable Deep Neural Network".
nhattruongpham/peptide-prediction-list
Collects software dedicated to predicting specific properties of peptides
nhattruongpham/PyDESeq2
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
nhattruongpham/scGPT
nhattruongpham/scRNA-tools
Table of software for the analysis of single-cell RNA-seq data.
nhattruongpham/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
nhattruongpham/shap
A game theoretic approach to explain the output of any machine learning model.
nhattruongpham/SpeechAlgorithms
Speech Algorithms Collections
nhattruongpham/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
nhattruongpham/training-resources
Resources for teaching/preparing to teach bioimage analysis
nhattruongpham/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
nhattruongpham/Vina-GPU-2.0
Vina-GPU 2.0 accelerates AutoDock Vina and its related commonly derived docking methods, such as QuickVina 2 and QuickVina-W with GPUs.
nhattruongpham/XAI-for-bioinformatics
Explainable AI for Bioinformatics