leonadoan Goto Github PK

nguyenquytruong.github.io

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

plotneuralnet

Latex code for making neural networks diagrams

pykale

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources in Python for interdisciplinary research, part of the PyTorch ecosystem 🔥

python-for-bioimage-analysis

This is the repository for a Python bioimage analysis course which establishes the fundamentals of image analysis in the context of biological imaging.

python_for_image_processing_apeer

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchtutorial

PyTorch Tutorials from my YouTube channel

retail_performance_dashboard

Olist Retail Performance for Financial Year 2018

survcnn

Redefining the utility of multi-omics data in cancer survival analysis

survival-cnn-estimator

Tutorial on survival analysis using TensorFlow.

survival-filter-benchmark

Source code for "Benchmark of filter methods for feature selection in high-dimensional gene expression survival data"

survival_analysis_tutorial

tcgasurvival

Scripts to analyze TCGA data

tensorflow-survival-analysis

Making survival analysis work in TensorFlow

test

tfdeepsurv

COX Proportional risk model and survival analysis implemented by tensorflow.

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

torchtuples

Training neural networks in PyTorch

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models.

xai-workshop

A simple and short introduction to Juypter Notebook, Python and Explainable AI, creating the Local Interpretable Model-agnostic Explanations (LIME) method from scratch.