JaeJoong Lee's repositories
ACM-TOG-Latent-L-systems-Transformer-based-Tree-Generator
ACM TOG, Latent L-systems: Transformer based Tree Generator, https://dl.acm.org/doi/10.1145/3627101
botanical-trees
Unofficial implementation of the paper "Learning to reconstruct botanical trees from single images"
JaeLee18.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
__JaeLee18.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Face-Landmark-Extraction-Pytorch
Face landmark extraction using Pytorch
NLP_Sentiment_Classification
NLP Sentiment Classification
NodeJS-passport-auth
An authentication NodeJS App using Passport
NodeJs-URL-shortner
URL Shortner using NodeJS
Pytorch-Image-Caption
Image Caption, Transfer learning, Pytorch
Resort_website
A hotel website to search a room using price, size filters.
AgePredictor
Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
DeepAsr
Keras(Tensorflow) implementations of Automatic Speech Recognition
keras-one-cycle
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
old_homepage
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
popular-baby-names
1, 000 most popular names for baby boys and girls in CSV and JSON formats. Generator written in Python.
PyTorch-tutorials-kr
๐ฐ๐ทPyTorch์์ ์ ๊ณตํ๋ ํํ ๋ฆฌ์ผ์ ํ๊ตญ์ด ๋ฒ์ญ์ ์ํ ์ ์ฅ์์ ๋๋ค. (Translate PyTorch tutorials in Korean.)
Spring-PetClinic-App
SFT Pet Clinic
Spring_Hibernate
Spring Hibernate Simple Tutorials
TensorFlowASR
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.