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biomedical-app

A collection of prototypes for biomedical applications. E.g. optimal protein-drug binding via hungarian algorithm.

braf

Biased Random Forest For Dealing With The Class Imbalance Problem

cd8_aging_figure_scripts

Figure Scripts for the healthy CD8 Aging Manuscript

cf_ensemble

sandbox for exotic ensemble learning algorithms

clinical-analytics-demo

A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)

code_snippets

coursera-deep-learning-specialization

This course is created by deeplearning.ai. Master Deep Learning, and Break into AI

deepclustering

Methods and Implements of Deep Clustering

ds_basics

Collections of my implementations on "basic" data analytics exercises

fraser

FRASER - Find RAre Splicing Events in RNA-seq

fraser-analysis

Accompanying analysis code for the FRASER manuscript

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gensim

Topic Modelling for Humans

grl

A generalized reinforcement learning framework that adapts to time-varying and evolving systems.

heatmap

Better heatmaps in Python

hyena-dna

Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

jsp_tutorials

CaveOfProgramming Java Server Pages Tutorial Notes

lecture_notes_gr

Lecture Notes on General Relativity, based on lectures by Dr. Frederic P. Schuller in 2015

loinc_predictor2

Prototypes for LOINC code predictions and imputations. Key ideas: string/text similarity metric learning, document embeddings, contrastive loss and Siamese network, classification algorithms (e.g. logistic regression, random forest), EDA via dimensionality reduction (e.g. t-SNE, PCA).

math-science-video-lectures

List of Science courses with video lectures

merf

Mixed Effects Random Forest

mlops

MLOps related modules based on the Deeplearning.AI's MLOps specialization

modules

qrecommender

A collection of implementations useful for building recommender systems. Key methods: matrix factorization, regression, collaborative filtering, evolutionary algorithm

scikit-learn

scikit-learn: machine learning in Python

spliceai

A deep learning-based tool to identify splice variants

survey_ai_drug_discovery

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-advanced

tensorflow-developer

This module organizes the source codes from DeepLearning.AI TensorFlow Developer Specialization for future reuse