Mahesh Urkude's Projects
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Example š Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using š§ Amazon SageMaker.
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Awesome Docker Compose samples
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.
This project contains Python source code and supporting files for a serverless application that you can deploy with the SAM CLI and that uses CodeDeploy and Lambda traffic shifting for deployment. This is a demo for my immutable infrastructure talk.
Machine Learning University: Accelerated Computer Vision Class
Machine Learning University: Accelerated Natural Language Processing Class
Machine Learning University: Accelerated Tabular Data Class
Machine Learning University: Decision Trees and Ensemble Methods
A simple repo to create docker swarm on aws
TensorFlow code and pre-trained models for BERT
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
Python libraries for Google Colaboratory
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
The Leek group guide to data sharing
Example Docker Compose app
This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.
This is a web app developed using the Flask framework, to predict the class of an input image(provided by the user through the browser) by a pre-trained deep learning model.
Sample code and notebooks for Generative AI on Google Cloud
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repo is linked to the Heroku platform in order to host the Image Classification app developed using Flask and pre-trained Tensorflow ResNet model on ImageNet data. This web app predicts the class of an input image(provided by the user through the browser).
Deep Learning Specialization course by IIT Roorkee (Using python, numpy, pandas, sklearn,TensorFlow 2)