Nguyen Trong Nghia's starred repositories
efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Federated-Learning-Keras
Sample Keras implementation of the Federated Learning (FL) for experimental research simulations.
fashion_compatibility_mcn
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
advancing-into-analytics-book
Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)
EarlySepsisPrediction
Early Prediction of Sepsis from Clinical Time Series Data
best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
Federated_vs_Centralized_Learning
The repository provides both the federated and centralized based learning on MNIST, CIFAR, and FashionMNIST using MLP and CNN based networks.
mimic-iii-project
MIMIC III v1.4 analysis. Mortality prediction through Deep Learning. :ghost:
mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
player-reidentification-challenge
A player reidentification challenge on Basketball images. An opportunity to publish at MMSports @ ACMMM and to win 2x $500.
BioMedIA-Hecktor2021
Hecktor-2021 Challenge Task-2 (Prognosis) code
FacialAnalysis-GUI
User interface for Face recognition from video, webcam, cloud ZOOM recording
Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
Anomaly_Detect_LSTM_VAE
Keras implementation of LSTM-VAE model for anomaly detection
LSTM-Autoencoder-for-Anomaly-Detection
AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
LearningUsingPrivilegedTimeSeries
This repository is the official implementation of Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Mean-Average-Precision-for-Boxes
Function to calculate mAP for set of detected boxes and annotated boxes.