Yelp review classification using CNN model with horovod on HPC cluster
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Updated
Jul 4, 2021
Yelp review classification using CNN model with horovod on HPC cluster
NGCF(Neural Graph Collaborative Filtering) Pytorch & Horovod implementation
Horovod Tutorial for Pytorch using NVIDIA-Docker.
Default Docker image used to run experiments on csquare.run.
Making the official ludwigai/ludwig-ray-gpu image available for jupyterhub.
Proxy application for analyzing dynamical systems.
Segmenting EM-shower particles and track particles using Unet and Horovod
This repository contains the code for RNNs which are trained for 3 bits Flip-flop task
Useful elements and building blocks for scalable Deep Learning applications on Databricks.
This Repo contains tensorflow docker images
Scaling Unet in Pytorch
Experiments with low level communication patterns that are useful for distributed training.
An implementation of a distributed ResNet model for classifying CIFAR-10 and MNIST datasets.
Scaling Unet in Tensorflow
See how to run distributed DL model training on the Neu.ro platform with help of Horovod framework
Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make distributed deep learning fast and easy to use.
How to use Docker and Singularity containers in conjunction with TensorFlow and Horovod to do distributed training and upscale an AI app.
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