GALI PREM SAGAR's repositories
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
arrow-cpp-feedstock
A conda-smithy repository for arrow-cpp.
dask
Parallel computing with task scheduling
clx
A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
cudf
cuDF - GPU DataFrame Library
cugraph
cuGraph - RAPIDS Graph Analytics Library
cuml
cuML - RAPIDS Machine Learning Library
cusignal
cuSignal - RAPIDS Signal Processing Library
cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
cuvs
cuVS - a library for vector search and clustering on the GPU
cuxfilter
GPU accelerated cross filtering with cuDF.
dask-cuda
Utilities for Dask and CUDA interactions
dask-sql
Distributed SQL Engine in Python using Dask
deployment
RAPIDS Deployment Documentation
docs
RAPIDS Documentation Site
gpu-bdb
RAPIDS GPU-BDB
integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
nvcc-feedstock
A conda-smithy repository for nvcc.
pyorc-feedstock
A conda-smithy repository for pyorc.
raft
Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML
rmm
RAPIDS Memory Manager
shared-workflows
Reusable GitHub Actions workflows for RAPIDS CI