hosseinshn Goto Github PK

aitl

A repository for Adversarial Inductive Transfer Learning with input and output space adaptation

basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

circminer

A sensitive and fast tool for circular RNA detection from RNA-Seq data

deep-genomic-signature

This repository is created for some codes, files, and supplementary materials for Deep Genomic Signature for early metastasis prediction in prostate cancer.

dgsml

DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains

gradnorm

This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018

hosseinshn.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

moli

MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction

pgx_guidelines

velodrome

Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics