Divye Gala
divyegala
Software Engineer at NVIDIA RAPIDS. Enjoy working on accelerated Machine Learning and Vector Search.
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41
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C++
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Repositories
41Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML
No description provided.
cuML - RAPIDS Machine Learning Library
GPU Accelerated Backend for NetworkX
No description provided.
KvikIO - High Performance File IO
cuVS - RAPIDS vector search library
A high performance implementation of HDBSCAN clustering.
Dockerfile templates for creating RAPIDS Docker Images
A library for efficient similarity search and clustering of dense vectors.
No description provided.
User tools for RAPIDS GitHub Actions
Reusable GitHub Actions workflows for RAPIDS CI
No description provided.
No description provided.
Python bindings for UCX
GPU accelerated cross filtering with cuDF.
CUDA-accelerated GIS and spatiotemporal algorithms
cuSignal - RAPIDS Signal Processing Library
No description provided.
High Performance Parallel CPU and GPU Implementations of Borůvka's Algorithm
cuDF - GPU DataFrame Library
FIL backend for the Triton Inference Server
No description provided.
The C++ parallel algorithms library.
Cooperative primitives for CUDA C++.
RAPIDS Memory Manager
No description provided.
cuGraph - RAPIDS Graph Analytics Library
RAPIDS Community Notebooks