doctormobile's repositories
AI_for_healthcare
This is the code for "AI for Healthcare" By Siraj Raval on Youtube
biopython
Official git repository for Biopython (originally converted from CVS)
ChemGAN-challenge
Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
doctormobile.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
DRKG
A knowledge graph and a set of tools for drug repurposing
GENTRL
Generative Tensorial Reinforcement Learning (GENTRL) model
GraphINVENT
Graph neural networks for molecular design.
kor0822
temp
lotto-deeplearning
인공지능 딥러닝(LSTM)을 활용한 로또번호 예측
machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
MarkovMusic
A markov chain based VERY simplistic procedural music generator.
personalized-model
Imoto et al., A text-based computational framework for patient -specific modeling for classification of cancers. iScience 25, 103944 (2022)
pyMultiOmics
Python toolbox for multi-omics data mapping and analysis
pySBOL3
Native python implementation of SBOL 3.0 specification
rapids-single-cell-examples
Examples of single-cell genomic analysis accelerated with RAPIDS
RL-GraphINVENT
RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-GraphINVENT uses a Gated Graph Neural Network -based model fine-tuned using reinforcement learning to probabilistically generate new molecules with desired property profiles.
Standalone-DeepLearning
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
SYS_Aging
## 시스템 바이오롤지 study