This repository provides the Open-CE environment files and version definitions for each Open-CE release.
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Updated
May 30, 2024
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Distributed training of a CNN using MNIST dataset, Tensorflow and Horovod
Application of the L2HMC algorithm to simulations in lattice QCD.
Segmenting EM-shower particles and track particles using Unet and Horovod
Scaling Unet in Pytorch
Scaling Unet in Tensorflow
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Proxy application for analyzing dynamical systems.
Neural network based solvers for partial differential equations and inverse problems 🌌. Implementation of physics-informed neural networks in pytorch.
Making the official ludwigai/ludwig-ray-gpu image available for jupyterhub.
Code for tutorials and examples
Default Docker image used to run experiments on csquare.run.
NGCF(Neural Graph Collaborative Filtering) Pytorch & Horovod implementation
Reimplement Deep Cell with Keras and Horovod.
SHUKUN Technology Co.,Ltd Algorithm intern (2020/12-2021/5). Multi-GPU, Multi-node training for deep learning models. Horovod, NVIDIA clara train sdk, configuration tutorial,performance testing.
How to use Docker and Singularity containers in conjunction with TensorFlow and Horovod to do distributed training and upscale an AI app.
An implementation of a distributed ResNet model for classifying CIFAR-10 and MNIST datasets.
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