TMLS2020: Difference between revisions

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h5ad - compressed annotated version
h5ad - compressed annotated version


nica lung  
nica lung  


https://github.com/rapidsai-community/notebooks-contrib/blob/branch-0.14/conference_notebooks/KDD_2020/notebooks/Lungs/hlca_lung_gpu_analysis.ipynb
https://github.com/rapidsai-community/notebooks-contrib/blob/branch-0.14/conference_notebooks/KDD_2020/notebooks/Lungs/hlca_lung_gpu_analysis.ipynb
genetic analysis, 2d visualization
UMAP
* https://www.nature.com/articles/s41467-020-15351-4
* https://umap-learn.readthedocs.io/en/latest/basic_usage.html

Revision as of 17:10, 16 November 2020

Nov 16tgh workshop


Topic: Workshop: MLOps & Automation Workshop: Bringing ML to Production in a Few Easy Steps

Time: Nov 16, 2020 09:00 AM Eastern Time (US and Canada)

who: Yaron Haviv https://medium.com/@yaronhaviv

Tools:

  • mlrun - lots of end to end demos /demos
  • nuclio
  • kubeflow

What it gives us:

  • CICD for ML
  • auditability
  • drift
  • feature store for meta data, and drift.


Topic: Reaching Lightspeed Data Science: ETL, ML, and Graph with NVIDIA RAPIDS

Time: Nov 16, 2020 11:00 AM Eastern Time (US and Canada)

https://github.com/dask/dask-tutorial

who: Bradley Rees ( from Nvidia )



https://medium.com/rapids-ai/gpu-dashboards-in-jupyter-lab-757b17aae1d5


https://nvidia.github.io/spark-rapids/

file formats:

h5 - for gentic info.

h5ad - compressed annotated version

nica lung

https://github.com/rapidsai-community/notebooks-contrib/blob/branch-0.14/conference_notebooks/KDD_2020/notebooks/Lungs/hlca_lung_gpu_analysis.ipynb

genetic analysis, 2d visualization

UMAP