Sarath M's Projects
TumorDoc: Brain tumor segmation using Deep Learning Part 2
Tumor Doc: Brain tumor segmention using Deep Learning Method 1
The implementation of 3D-UNet using PyTorch
Practicing deploying react apps on aws
Framework to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.
Popular list of coding questions for cracking coding interviews.
This project uses the 2D U-Net architecture to make a machine learning model to segment a brain tumor in an MRI scan of brain. This project was done in Python and used various libraries and frameworks including Tensorflow (keras), numpy, pandas, and more. This program creates 4 different U-Net models, each with different depth (2, 3, 4, and 5). I then train these on the training set and evaluate them on the validation set.
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
Works for calorie tracker backend
React Frontend for a calorie tracker [In - Progress]
CAP 5516 Medical Imaging Brain Tumor Segmentation Course Project
d3 custom graph
Angular CRUD Application for Employee Mgmt System
Spring Boot CRUD Application for Employee Mgmt App - Java, Spring Boot, Hibernate, MySQL, RESTful API
n expense tracking application with data visualization - developed using React, Node, Express, MongoDB and Victory
Restaurant Finder for People with Dietary Restrictions - Hackathon Project 2023
PyTorch implementation of FashionMNIST using 2DCNN
šāØ Help beginners to contribute to open source projects
Your First Full Stack Application with Angular and Spring Boot
Starter files, final projects, and FAQ for my HTML + CSS course
Design patterns implemented in Java
This Repo contains code to implement K-Means from Scratch
LinkLeap - Effortless Job Applications on LinkedIn - Automates 90% of Boring Job Application
š§ š¬ Articles I wrote about machine learning, archived from MachineCurve.com.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Multi-Class Malware Classification using Sklearn's LR, KNN, DT, RF, XGB.
Practicing Merge on Github
Metric and Affine Rectification
Building 5 models on MNIST Dataset using PyTorch