The posts have technical implementation of various models with practical examples. You may browse by the topics of interest, or simply going over the posts.

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Posts

• End to end ML pipeline using multiple open source tools. Create a pipeline for model training and an application to use the AI model for generating prediction.

  End to end ML pipeline using multiple open source tools and AWS

  Mar 24, 2022

• Install Docker from docker repository on an AWS Ubuntu server

  Install Docker from docker repository on an AWS Ubuntu server

  Mar 19, 2022

• Install NVIDIA CUDA on an AWS Ubuntu g4dn server

  Nvidia CUDA Installation steps on a new AWS Ubuntu 18.04 g4dn server

  Mar 19, 2022

• Transfer Learning from a Clara Train Model using MONAI

  Train a Spleen segmentation model using a pretrained segmentation model from NVIDIA GPU Cloud. The pretrained model is in Medical model archive (MMAR) format. We will create a new model in PyTorch model format (.pth) and then will convert the model to Torchscript (.ts) format using Tracing. Torchscript model is an intermediate representation of a PyTorch model that can then be run in a high-performance environment such as C++.

  Mar 13, 2022

• Train, Deploy and Track a Keras Image Classifier with MLflow

  Train and Deploy Keras Image Classifier with MLflow

  Feb 22, 2022