Pinned Repositories
arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
awkward-pandas
Awkward Pandas extension array
Breezepy-API
Python Wrapper around Breezeometer API
cpython
The Python programming language
cucim
cuCIM - RAPIDS GPU-accelerated image processing library
cudf
cuDF - GPU DataFrame Library
cugraph
cuGraph - RAPIDS Graph Analytics Library
geopandas
Python tools for geographic data
NBA-Player-Headshots
NBA Player Headshots from NBA.com
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
mroeschke's Repositories
mroeschke/geopandas
Python tools for geographic data
mroeschke/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
mroeschke/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
mroeschke/awkward-pandas
Awkward Pandas extension array
mroeschke/cpython
The Python programming language
mroeschke/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
mroeschke/cudf
cuDF - GPU DataFrame Library
mroeschke/cugraph
cuGraph - RAPIDS Graph Analytics Library
mroeschke/cuml
cuML - RAPIDS Machine Learning Library
mroeschke/cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
mroeschke/dask
Parallel computing with task scheduling
mroeschke/dataframe-api-compat
mroeschke/db-benchmark
reproducible benchmark of database-like ops
mroeschke/ibis
A pandas-like deferred expression system, with first-class SQL support
mroeschke/matplotlib
matplotlib: plotting with Python
mroeschke/numba
NumPy aware dynamic Python compiler using LLVM
mroeschke/cupy
NumPy & SciPy for GPU
mroeschke/cuvs
cuVS - a library for vector search and clustering on the GPU
mroeschke/cuxfilter
GPU accelerated cross filtering with cuDF.
mroeschke/dask-cuda
Utilities for Dask and CUDA interactions
mroeschke/fastparquet
python implementation of the parquet columnar file format.
mroeschke/kvikio
KvikIO - High Performance File IO
mroeschke/Morpheus
Morpheus SDK
mroeschke/numpy
The fundamental package for scientific computing with Python.
mroeschke/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
mroeschke/rmm
RAPIDS Memory Manager
mroeschke/seaborn
Statistical data visualization in Python
mroeschke/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
mroeschke/streamz
Real-time stream processing for python
mroeschke/xarray
N-D labeled arrays and datasets in Python