Bhargav Patel's Projects
This repository contains a curated collection of 300 case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
This mobile application is useful to monitor the dynamic pollution sources integrated with google map API.
Quarantine Project
Various examples for TensorFlow Extended using Apache Beam and Airflow to create End2End Pipelines for Machine Learning.
ArduinoBLE library for Arduino
Powersave features for SAMD boards
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
This repository contains best profile readme's for your reference.
A curated list of references for MLOps
:sunglasses: A curated list of awesome MLOps tools
testing the branch code
Reinforcement Learning Example
Achieved 96.7% classification accuracy using transfer learning approach with VGG16 pre-trained model. We utilized Gradient based Class Activation Maps (GradCAM) to provide transparency for the decision taken by CNN classifier.
I have use Convolutional Neural Network to make a classification model for Fashion MNIST data set. After 200 epoch model has achieved 96.9% of validation Accuracy.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID-Net model for COVID-19 detection on COVIDx dataset
Solutions of cracking coding interview book
All notes and materials for the CS229: Machine Learning course by Stanford University
Image Deblurring using Generative Adversarial Networks
Deep Multi-scale CNN for Dynamic Scene Deblurring