source code learning

how to write markdown code

e2e tabular data pipelines for classification task

an end-to-end pipeline for fitting tabular data with LightGBM, Random Forest, XGBoost, and CatBoost using cross-validation: for_tabular_data.ipynb

pytorch pipelines

for tabular data

• dl for tabular data
• dl for tabular data + batch size

for sequence data

classical code

• resnet
• RNA starter
• USPNet(LSTM+attention)
• BLSTM module by hand

bluecast(a light-weight and fast auto-ml library)

• how to use bluecast

computer vision

• detection using transformer(detr)
• super resolution and reconstruction of remote image(diffusion model)

ai4bio

• USPNet(a signal peptide predictor using RNA sequence data)
• NucleicNet(a framework to predict binding preference of RNA constitunents on protein surface)