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Seoul National University
- Seoul, Republic of Korea
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15:27
(UTC +09:00) - https://linktr.ee/seongsulee
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A fully configurable Gymnasium compatible Tetris environment
Repository for the Python implementation of the TrialData analysis library.
2023: Preserved neural dynamics across animals performing similar behaviour
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
DeePred-BBB is a deep Neural network-based model for prediction of blood brain barrier permeability of compounds using Simplified Molecular Input Line Entry System (SMILES) notation of Compounds.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A game theoretic approach to explain the output of any machine learning model.
Attributing predictions made by the Inception network using the Integrated Gradients method
A Zotero plugin for syncing items and notes into Notion
Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"
Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction
A beautiful, simple, clean, and responsive Jekyll theme for academics
Python Implementation of Reinforcement Learning: An Introduction
MBTI text classifer trained on the Kaggle MBTI dataset
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
CVPR 2021 | Metrics for evaluating interpretability methods.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Locating and editing factual associations in GPT (NeurIPS 2022)
My final course project for CSCI 8360 Data Science Practicum course. This project focuses on gender and age classification based on images using convolutional neural networks.