phillevn Goto Github PK

alzheimerdisease_classification

We classify severe of Alzheimer Disease by using brain MRI images

awesome-multi-omics

List of software packages for multi-omics analysis

bayesianrnn

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

bds761

BDS761 projects

biostat

blood_cells_detection

We training a model to detect blood cell types by using yolov5 algorithm.

bokeh

Interactive Data Visualization in the browser, from Python

chest_xray

We use Bayesian deep learning to classify pneumoia vs. normal from chest xray images

covid19_timeseries_prediction

We used time series to make predictions for new cases and new deaths

dataanalysis

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

emagma-tutorial

A step by step guide on how to use eMAGMA, an approach to conducting eQTL informed gene-based tests.

fantasy_football

We do some types of analysis of wide-receiver performance

genes_transcript_expression

I provide a pipline for Differential Gene expression, Differential Transcript Expression and Differential Transcript Usage

graph_neural_network_example

gwa_tutorial

A comprehensive tutorial about GWAS and PRS

gwas

Genome-wide Association Study (GWAS) Tutorial

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

higwas

Lasso method for the estimation of joint genetic effects in GWAS

introdatascience

linearmixedmodels

We will write the theory and program to obtain the coefficients of linear mixed models

longitudinalgwas

medicalquestionandtags

We use Bert to predict the tags of a medical questions

network-analysis-for-repertoire-sequencing-

ottr

OTTR_Template_Website

phillevn.github.io

My website

python-deep-learning-projects

Python Deep Learning Projects, published by Packt

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.