Name: Sungju Kim
Type: User
Company: NAVER Cloud, Hyperscale AI
Bio: Researcher, Code capability of LLM, Large Language Model, Question Answering, Information Retrieval
Location: Seoul, Korea
Blog: https://goddoe.github.io
Sungju Kim's Projects
Distribution methods for Machine Learning solutions
Neural Network modules written with C++
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
chatbot_engine
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
docs_for_almost_everything
Google's Engineering Practices documentation
error-prediction
finance data crawling tool
Sung-ju Kim's github.io page
GraphTool
Tensorflow implementation of "Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization"[ICCV 2017]
A multi-thread crawler framework with many builtin image crawlers provided.
Learner is Super-Easy Machine Learning Library
mathematical tools
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine Learning Lecture
PyTorch implementation of NALU "Neural Arithmetic Logic Units"
NewsFeeder
norman3's github page which includes PRML, RL, deeplearning networks is awsome. I forked his page for preservation.
Blazing fast Neovim framework providing solid defaults and a beautiful UI, enhancing your neovim experience.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.