pleiadian53

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

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)

ds_basics

Collections of my implementations on "basic" data analytics exercises

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).

qrecommender

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

tensorflow-developer

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

tpheno

Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.

zero_shot_classification

Implementation of the paper "Train Once, Test Anywhere: Zero-Shot Learning for Text Classification"

pleiadian53/BRAF

Biased Random Forest For Dealing With The Class Imbalance Problem

pleiadian53/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)

pleiadian53/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).

pleiadian53/zero_shot_classification

Implementation of the paper "Train Once, Test Anywhere: Zero-Shot Learning for Text Classification"

pleiadian53/cf_ensemble

sandbox for exotic ensemble learning algorithms

pleiadian53/ds_basics

Collections of my implementations on "basic" data analytics exercises

pleiadian53/tensorflow-developer

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

pleiadian53/biomedical-app

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

pleiadian53/qrecommender

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

pleiadian53/tpheno

Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.

pleiadian53/CD8_aging_figure_scripts

Figure Scripts for the healthy CD8 Aging Manuscript

pleiadian53/code_snippets

pleiadian53/coursera-Deep-Learning-Specialization

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

pleiadian53/DeepClustering

Methods and Implements of Deep Clustering

pleiadian53/FRASER

FRASER - Find RAre Splicing Events in RNA-seq

pleiadian53/FRASER-analysis

Accompanying analysis code for the FRASER manuscript

pleiadian53/gcn

Implementation of Graph Convolutional Networks in TensorFlow

pleiadian53/gensim

Topic Modelling for Humans

pleiadian53/GRL

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

pleiadian53/heatmap

Better heatmaps in Python

pleiadian53/hyena-dna

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

pleiadian53/math-science-video-lectures

List of Science courses with video lectures

pleiadian53/merf

Mixed Effects Random Forest

pleiadian53/mlops

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

pleiadian53/scikit-learn

scikit-learn: machine learning in Python

pleiadian53/SpliceAI

A deep learning-based tool to identify splice variants

pleiadian53/Survey_AI_Drug_Discovery

pleiadian53/tensorflow

Computation using data flow graphs for scalable machine learning

pleiadian53/tensorflow-advanced

pleiadian53/tf-vs-pytorch

A companion code for my Medium post