Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
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Updated
Mar 25, 2017 - Python
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
Meta-Iterative Map-Reduce to perform Regression massively parallely on a cluster with MPI and CUDA for GPU and CPU-nodes support.
Tools for ML/MXNet on Kubernetes. Rework of original tf-operator to support MXNet framework.
General purpose Kubernetes operator for DL frameworks written in Python
Experiments with low level communication patterns that are useful for distributed training.
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Tensorflow implementation of U-Net model with TPU Estimator support.
Messing with Distributed TensorFlow and Kubernetes
Tutorials on running distributed deep learning on Batch AI
Example of Distributed pyTorch
A PyTorch Implementation of YOLOv3
How to use Cross Replica / Synchronized Batchnorm in Pytorch
Create Horovod cluster easily using Ansible
A simple model for image classification on the CIFAR datasets, demonstrating TF's new APIs in TF 1.4
Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
Communication-efficient decentralized SGD (Pytorch)
Metaflow On Kubernetes
A memory balanced and communication efficient FullyConnected layer with CrossEntropyLoss model parallel implementation in PyTorch
A Comprehensive Tutorial on Video Modeling
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
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