GenEval: An object-focused framework for evaluating text-to-image alignment

Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.

Official PyTorch implementation of ReWaS (AAAI'25) "Read, Watch and Scream! Sound Generation from Text and Video"

Using intermediate layers to improve OOD generalization for vision tasks

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

A simple library for Fréchet Audio Distance (FAD) calculation

with alignment learning and continuous wavelet transform

Download audioset data super fastly with youtube-dl, ffmpeg and python multiprocessing

Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.

One Shot learning, Siamese networks and Triplet Loss with Keras

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

🎁 5,400,000+ Unsplash images made available for research and machine learning

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A collection of pre-trained, state-of-the-art models in the ONNX format

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

This repository will contain scripts to deploy publicly available face detection models and benchmark them against famous WIDER face dataset

Learn OpenCV : C++ and Python Examples

DS4C: Data Science for COVID-19 in South Korea

State-of-the-art model evaluation

2018 FALL 4기 EDUCATION

Machine learning-Stanford University

📝 An awesome Data Science repository to learn and apply for real world problems.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Data science portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.