Thejaswi. N. S

GPU enabled docker image infrastructure

NVIDIA cuOpt is an open-source GPU-accelerated optimization engine delivering near real-time solutions for complex decision-making challenges.

Simple benchmarking setup for NCCL library

My Blog

Terminal based editor written in C++

Dockerfiles specific to cuda accelerated computing environments.

Simple static site generator using python

C++ program to find the correlation dimension of the chaotic-maps

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Moto G kernel http://sourceforge.net/projects/motog.motorola/files/14.10.0Q3.X-84-14/kernel.tar.gz

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A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.

Emacs Lisp module to log commands/keystrokes entered during the emacs session

cuML - RAPIDS Machine Learning Library

A glossary of Machine Learning terminologies

RAPIDS Community Notebooks

RAPIDS Memory Manager

CUDA-accelerated GIS and spatiotemporal algorithms

cuDF - GPU DataFrame Library

A starting point for "from-scratch" cuda programs

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML

Common build environment used by gpuCI for building RAPIDS

RAPIDS - combined conda package & integration tests for all of RAPIDS libraries

Analyze your repo's CI timings

Clang build recipe for anaconda

A library for efficient similarity search and clustering of dense vectors.

Conda recipes for cuda-aware OpenMPI