Youngchae (James) Chee 지영채's Projects
Algorithm / Data Structure archive
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Google, Naver multiprocess image web crawler (Selenium)
Auto Gradient Computation Framework in Cpp
Bayesian inference in python
video sementic segmentation with CenterCLIP for Video Retrieval
Central Limit Theorem in python demo
Custom Made Neural Network Framework. By not using pre-made Frameworks, this is a way to actually understand Machine Learning. Free to use it and always welcome to Contribute!
Contrastive Language-Image Pretraining
Clip4Clip fork
ClipBERT with vss representation
pytorch implementation of complex convolutional neural network
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Audio source seperation using DeepLabv3+ Segmentation Model link:https://colab.research.google.com/drive/1azCXH4udXSTkEf3JLihdMTPoCKB7IETq
Further Research and Development of my application 'UOK'. Implementing DL Approach to sequential motion data analysis
code for downloading videos from HowTo100M dataset
Long Image Sequence Generation from Text
EEN: Error Encoding Network
This is a repo that contains EmotionM frontend and backend code. This was developed by me(James Chee) during year 2016 as a High School Research and Education Project.
Non-Fungible Token minting made simple
This is a tensorflow implementation of EEN which was originally developed by Mikael Henaff, Junbo Zhao and Yann LeCun from Facebook AI Research, Courant Institute, New York University. Implemented by James Youngchae Chee. Original work :
facedetection python code using haarcascade
faster rcnn
This repository contains the source code for the paper First Order Motion Model for Image Animation
Hyper realistic autopilot agent eligible for non-normal flying conditions utilizing machine learning
This is a repo that contains code of 'FoodPreferenceClassifier'. I used google codelab's Tensorflow for Poets Repo to classify the pictures of food that I like. It was a simple but very interesting approach considering this being a machine learning method of psychological experiment.
GloVe model for distributed word representation
parse google search result using python
Lightweight cli powered by OpenAI to easily generate Linux commands through natural language inputs