Overview of Pytorch Kit

This VM provides out of box environment for learning, developing & deploying AI & Machine Learning applications using Pytorch . Key highlights include:

1. Preinstalled most popular AI & ML frameworks

   Pytorch

   NumPy

   SciPy

   Scikit-Learn

   Matplotlib

2. Demos

   Working demos based on the book “Python Machine Learning, 2nd Ed“ By Raschka, Sebastian, & Vahid Mirjalili.

   Demos include: Machine Learning - Giving Computers the Ability to Learn from Data

   Training Machine Learning Algorithms for Classification

   A Tour of Machine Learning Classifiers Using Scikit-Learn

   Building Good Training Sets – Data Pre-Processing

   Compressing Data via Dimensionality Reduction

   Learning Best Practices for Model Evaluation & Hyperparameter Optimization

   Combining Different Models for Ensemble Learning

   Applying Machine Learning to Sentiment Analysis

   Embedding a Machine Learning Model into a Web Application

   Predicting Continuous Target Variables with Regression Analysis

   Working with Unlabeled Data – Clustering Analysis

   Implementing a Multi-layer Artificial Neural Network from Scratch

   Parallelizing Neural Network Training with TensorFlow

   Going Deeper: The Mechanics of TensorFlow

   Classifying Images with Deep Convolutional Neural Networks

   Modeling Sequential Data Using Recurrent Neural Networks

3. Jupyter for interactive development

4. Jupyterhub

   This provides a multi user Jupyter environment.

   Create one Linux account for each of user & there will be separate Jupyter environment created for that account. More details here

5. Other goodies

   Remote desktop

   Fish

   Visual studio code