Yanrong Ji's Projects
"Bayesian Statistics & Machine Learning" Reading Group at Northwestern Statistics
Materials for 2018 MSiA Boot Camp
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Library for converting clinical trial eligibility criteria to a machine-readable format.
RCS Intro to Databases workshop materials
Diverse Cluster Ensemble in R
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
EfficientNet implemented in Pytorch with SyncBatchNorm layers on multiple GPUs and memory optimization trick for my Kaggle competitions. Code modified from https://github.com/lukemelas/EfficientNet-PyTorch/.
Isoform-level quantification of ribosome-footprint and proteomic data
Introduction to Python Programming and Data Science
In silico analysis of alternative splicing on drug-target gene interactions
Implementation of Squeeze and Excitation Networks in Keras
kidGAN to generate children/babies images based on input of parents pictures
Predicting metastasis of Merkel Cell Carcinoma
Jupyter notebooks, Python and MATLAB code examples, and demos from the textbook "Machine Learning Refined" (Cambridge University Press). See our blog https://jermwatt.github.io/mlrefined/index.html for interactive versions of many of the notebooks in this repo.
Standardized data set for machine learning of protein structure
PUBG Finish Placement Prediction project from Kaggle competition
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
My script for SRAdownload-STAR-RSEM pipeline for transcriptome analysis
Machine: The New Art Connoisseur (https://arxiv.org/abs/1911.10091)