Yelp review classification using CNN model with horovod on HPC cluster
-
Updated
Jul 4, 2021
Yelp review classification using CNN model with horovod on HPC cluster
This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF
Default Docker image used to run experiments on csquare.run.
Useful elements and building blocks for scalable Deep Learning applications on Databricks.
This Repo contains tensorflow docker images
An implementation of a distributed ResNet model for classifying CIFAR-10 and MNIST datasets.
See how to run distributed DL model training on the Neu.ro platform with help of Horovod framework
How to use Docker and Singularity containers in conjunction with TensorFlow and Horovod to do distributed training and upscale an AI app.
A fully distributed hyperparameter optimization tool for PyTorch DNNs
Sample code motivated by the work of Agnes. Using Keras, TF, Horovod, and openmpi
Distributed training of a CNN using MNIST dataset, Tensorflow and Horovod
performance test of MNIST hand writings usign MXNet + TF
NGCF(Neural Graph Collaborative Filtering) Pytorch & Horovod implementation
Horovod Tutorial for Pytorch using NVIDIA-Docker.
Making the official ludwigai/ludwig-ray-gpu image available for jupyterhub.
Add a description, image, and links to the horovod topic page so that developers can more easily learn about it.
To associate your repository with the horovod topic, visit your repo's landing page and select "manage topics."