mmccarty

Working on @rapidsai at @nvidia

NVIDIALeesburg, VA

Pinned Repositories

dask
Parallel computing with task scheduling
Language:Python12.3k 211 5.1k1.7k
intake
Intake is a lightweight package for finding, investigating, loading and disseminating data.
Language:Python994 41 378141
intake-xarray
Intake plugin for xarray
Language:Python74 23 6936
antioch
Dynamic Scheduling System for the GBT
Language:Haskell11
dask-ml
Scalable Machine Learning with Dask
Language:Python0 1 00
intake-blog
Contributions to the Intake blog
1 1 00
lol
Land of Lisp
Language:Common Lisp10
notebooks
Jupyter notebooks
Language:Jupyter Notebook1 1 00
pangeo
Pangeo website + discussion of general issues related to the project.
Language:Jupyter Notebook695 94 612187

mmccarty's Repositories

mmccarty/notebooks
Jupyter notebooks
Language:Jupyter Notebook1 1 00
mmccarty/dask-ml
Scalable Machine Learning with Dask
Language:Python0 1 00
mmccarty/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
mmccarty/cloud-ml-examples
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
Language:Jupyter Notebook
mmccarty/cudf
cuDF - GPU DataFrame Library
Language:C++1 0
mmccarty/cugraph
cuGraph - RAPIDS Graph Analytics Library
mmccarty/cuml
cuML - RAPIDS Machine Learning Library
Language:C++0 0
mmccarty/cupy
NumPy & SciPy for GPU
mmccarty/cuxfilter
GPU accelerated cross filtering with cuDF.
mmccarty/dask
Parallel computing with task scheduling
Language:Python0 0
mmccarty/dask-kubernetes
Native Kubernetes integration for Dask
Language:Python1 0
mmccarty/deployment
Language:Dockerfile
mmccarty/distributed
A distributed task scheduler for Dask
Language:Python
mmccarty/docker
Dockerfile templates for creating RAPIDS Docker Images
Language:Dockerfile0 0
mmccarty/docs
RAPIDS Documentation Site
Language:HTML
mmccarty/fastparquet
python implementation of the parquet columnar file format.
mmccarty/gpu-python-tutorial
GPU Development in Python 101 tutorial
Language:Jupyter Notebook
mmccarty/ibis
Expressive analytics in Python at any scale.
mmccarty/integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
mmccarty/jobs-board
Minimalist jobs board implementation
mmccarty/mmccarty.github.io
Repo for website: https://mikemccarty.io/
Language:CSS1 0
mmccarty/notebooks-contrib
RAPIDS Community Notebooks
Language:Jupyter Notebook
mmccarty/numpy
The fundamental package for scientific computing with Python.
Language:Python
mmccarty/nvidia-cuda-tutorial
Nvidia contributed CUDA tutorial for Numba
mmccarty/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
mmccarty/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:Python0 0
mmccarty/rapids-notebooks
RAPIDS Sample Notebooks
mmccarty/scikit-learn
scikit-learn: machine learning in Python
Language:Python0 0
mmccarty/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Language:Python0 0
mmccarty/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow