Ohyeon5

InvisibleInhibitions

Computational simulation for invisible retinotopic inhibition on non-retinotopic perception

MultiscaleSegmentation

Mimicking human parallel visual information processing system (mismatch penalty) for Image semantic segmentation, using multiple feature maps.

pytorch-graphNet

Pytorch implementation of Deepmind's Graph network. Original repo: https://github.com/deepmind/graph_nets.git. Original paper: https://arxiv.org/abs/1806.01261

RIP

Reveal impacts of eco-friendly Policies

SQM_basis

Combine SQM frame prediction and discreteness project together. What makes perception discrete and what is the source of opening and closing the perceptual windows?

SQM_discreteness

Compare discrete vs continuous networks to investigate the function of discrete temporal integration

syn-search

Optimal Drug Synthesis Condition Searching Conversational AI, using LLMs

TPD_priority_map

Psychophysics Experiment for discriminating retinotopic or non-retinotopic mapping of priority map using TPD

syn-retro-public

Syn-retro package is a python package that decomposes compounds with the defined reaction smarts and accessible building blocks. Users can easily integrate their own building blocks and RXN SMARTS to do retrosynthesis for their own scope.

synple-utils

Utility functions and helper functions for python scripts focus on cheminformatics.

Ohyeon5/MultiscaleSegmentation

Mimicking human parallel visual information processing system (mismatch penalty) for Image semantic segmentation, using multiple feature maps.

Ohyeon5/RIP

Reveal impacts of eco-friendly Policies

Ohyeon5/pytorch-graphNet

Pytorch implementation of Deepmind's Graph network. Original repo: https://github.com/deepmind/graph_nets.git. Original paper: https://arxiv.org/abs/1806.01261

Ohyeon5/syn-search

Optimal Drug Synthesis Condition Searching Conversational AI, using LLMs

Ohyeon5/TPD_priority_map

Psychophysics Experiment for discriminating retinotopic or non-retinotopic mapping of priority map using TPD

Ohyeon5/InvisibleInhibitions

Computational simulation for invisible retinotopic inhibition on non-retinotopic perception

Ohyeon5/SQM_basis

Combine SQM frame prediction and discreteness project together. What makes perception discrete and what is the source of opening and closing the perceptual windows?

Ohyeon5/SQM_discreteness

Compare discrete vs continuous networks to investigate the function of discrete temporal integration

Ohyeon5/DN_uncrowding

Can divisive normalization explain uncrowding? Let's add recurrent procedure in DN process to see if it can tackle uncrowding problem

Ohyeon5/ChEMBL_Structure_Pipeline

ChEMBL database structure pipelines

Ohyeon5/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

Ohyeon5/cookiecutter-pytorch-pl-tb

A Cookiecutter template for pytorch-pylight-tensorboard 💻

Ohyeon5/CVND_Exercises

Exercise notebooks for CVND.

Ohyeon5/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Ohyeon5/dissecting_uncrowding

Codes and model results

Ohyeon5/Ohyeon5.github.io

Github pages

Ohyeon5/ppl

A full-stack application that collects relevant information from search APIs (e.g., PubMed), creates index using embedding models (e.g., BERT), and provides a user-friendly interface for users to search and explore the information, then create readable report out of it.

Ohyeon5/Practice

Personnal practice repo for online and offline courses. HWs, mini projects, and side projects are archived here.

Ohyeon5/rl-seminar1

Ohyeon5/scikit-mol

scikit-learn classes for molecular vectorization using RDKit

Ohyeon5/scratch

Oh-hyeon's general documentation repository

Ohyeon5/segmentation

Tensorflow implementation : U-net and FCN with global convolution

Ohyeon5/tf-image-segmentation

Image Segmentation framework based on Tensorflow and TF-Slim library

Ohyeon5/tf_unet

Generic U-Net Tensorflow implementation for image segmentation

Ohyeon5/workshops

A few exercises for use at events.

Ohyeon5/zeroshot-imitation

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration