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Thorsten Kurth's Projects

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

benchy icon benchy

Prototype benchmarking dataloader for DL

bml icon bml

The Basic Matrix Library (bml)

caffe icon caffe

Caffe: a fast open framework for deep learning.

cans icon cans

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

chroma icon chroma

The Chroma Software System for Lattice QCD

cscs-spack icon cscs-spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

cudnn-frontend icon cudnn-frontend

cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it

dali icon dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

grid icon grid

Data parallel C++ mathematical object library

h5py icon h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

hdf5 icon hdf5

Official HDF5® Library Repository

horovod icon horovod

Distributed training framework for TensorFlow.

hpc icon hpc

Reference implementations of MLPerf™ HPC training benchmarks

makani icon makani

Massively parallel training of machine-learning based weather and climate models

mlperf-deepcam icon mlperf-deepcam

This is the public repo for the MLPerf DeepCAM climate data segmentation proposal.

modulus icon modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

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