vibhatha

Benchmarks

ECP-CANDLE Benchmarks

cylon

Cylon is a fast, scalable distributed memory data parallel library for processing structured data

cylon_applications

data_repo

dislib

The Distributed Computing library for python implemented using PyCOMPSs programming model for HPC.

google-research

Google Research

mlbox

numpy

The fundamental package for scientific computing with Python.

PytorchExamples

cpp_cython_playground

cpython

The Python programming language

fa20-523-301

Hemmerlein, Gavin

mlcube_examples

MLCube examples

nccl

Optimized primitives for collective multi-GPU communication

NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

SC20_pyHPC

pyHPC workshop

sciml-bench

SciML Benchmarking Suite for AI for Science

simple_cpp_cython_package

sqlite

Official Git mirror of the SQLite source tree

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

ucc

Unified Communication Collectives Library

blazingsql

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

book-1

Gregor von Laszewski

cybertraining-dsc.github.io

https://cybertraining-dsc.github.io

ealstm_regional_modeling

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

fa20-523-347

Zhang, Kris

mars

Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.

sciml-benchmarks

A suite of machine learning benchmarks for AI for Science

tabnet_fork

A fork of TabNet by Google Research