Dask tutorial for PyData DC 2016
A repository to test different performance optimizations in a sparse matrix computation.
Code for ICML2019 paper: Learning to Route in Similarity Graphs
fork of mlperf training
Collection of benchmarks
Dask tutorial for PyData Chicago 2016
Princeton mini course on GPUs in Python
Dask tutorial
compare the different ML, AD, GPU tools in Julia
Dask tutorials for Big Data Analysis and Machine Learning as Jupyter notebooks
Benchmarks between magnetic forward models in SimPEG