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
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
ALPR_SSD_CTPN_LPRNet
Automatic License Plate Recognition with SSD Plate Detection + CTPN Text Detection + License Plate Recognition via Deep Neural Networks
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
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.
Korean-License-Plate-Recognition
Korean car license plate recognition using LPRNet
nhattruongpham's Repositories
nhattruongpham/mmser
SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings
nhattruongpham/mACPpred2
mACPpred 2.0: Stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations
nhattruongpham/SER-Fuse
SER-Fuse: An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion
nhattruongpham/awesome-AI4ProteinConformation-MD
List of protein conformations and molecular dynamics using generative artificial intelligence and deep learning
nhattruongpham/awesome-BioMolFold
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
nhattruongpham/awesome-deep-learning-single-cell-papers
nhattruongpham/Awesome-Incremental-Learning
Awesome Incremental Learning
nhattruongpham/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
nhattruongpham/Awesome-Scientific-Language-Models
A Curated List of Language Models in Scientific Domains
nhattruongpham/chemcrow-public
Chemcrow
nhattruongpham/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
nhattruongpham/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
nhattruongpham/getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
nhattruongpham/lightly
A python library for self-supervised learning on images.
nhattruongpham/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
nhattruongpham/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
nhattruongpham/machine_unlearning
Existing Literature about Machine Unlearning
nhattruongpham/MONAI
AI Toolkit for Healthcare Imaging
nhattruongpham/nhattruongpham
nhattruongpham/nhattruongpham.github.io
Officially personal website
nhattruongpham/papers-for-molecular-design-using-DL
List of molecular design using Generative AI and Deep Learning
nhattruongpham/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
nhattruongpham/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
nhattruongpham/PyDESeq2
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
nhattruongpham/pykan
Kolmogorov Arnold Networks
nhattruongpham/scGPT
nhattruongpham/single-cell-transformer-papers
nhattruongpham/training-resources
Resources for teaching/preparing to teach bioimage analysis
nhattruongpham/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
nhattruongpham/xtuner
An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)