/Workshop-R-Tensorflow-Scientific-Computing

Workshop R for Deep Learning with Tensorflow with Applications in Research & Scientific Computing

Primary LanguageJupyter Notebook

Workshop R for Deep Learning with Tensorflow with Applications in Research & Scientific Computing

This workshop is a combination of 2 connected papers for Phuse US 2020 conf. Section: PHUSE US Connect 2020 – Orlando, FL - Machine Learning & Artificial Intelligence March 8th-11th

https://www.phuse.eu/usconnect20-presentations

Paper ML12 R for Deep Learning with Tensorflow™ with Applications in Cancer Immunotherapy https://github.com/philbowsher/Workshop-R-Tensorflow-Scientific-Computing/raw/master/papers/R%20for%20Deep%20Learning%20with%20Tensorflow%20with%20Applications%20in%20Cancer%20Immunotherapy%20Bowsher.pdf

Paper TT14 R & Python for Clinical Workflows: https://github.com/philbowsher/Workshop-R-Tensorflow-Scientific-Computing/raw/master/papers/R%20%26amp%3B%20Python%20for%20Clinical%20Workflows%20Bowsher.pdf

Live environment with examples: https://rstudio.cloud/project/1011147

Live Presentation is here:

https://colorado.rstudio.com/rsc/WorkshopRDeepLearningSci/workshopTensorflow.html#1

Work built on top of:

https://blogs.rstudio.com/tensorflow/posts/2018-01-29-dl-for-cancer-immunotherapy/

https://github.com/sol-eng/immunotherapy

https://solutions.rstudio.com/examples/tensorflow/immunotherapy/