Pinned Repositories
Algorithms
Blob-footer
A blobby footer on the way
BusinessCardFlutter
A simple business card in Flutter
EncryptoDecrypto
A website to encrypt your message :)
FaceDetection
Face Detection using OpenCV's Haar Cascade to do face detection on a Webcam image and video.
Logistic-Regression-Houses-prices
Machine-Learning
Machine Learning Projects
Plant-Disease-Classification
Rainfall-Prediction
Here I've used the australian weather dataset from Kaggle.
Weather-Website
SMARTA01's Repositories
SMARTA01/Algorithms
SMARTA01/Blob-footer
A blobby footer on the way
SMARTA01/BusinessCardFlutter
A simple business card in Flutter
SMARTA01/EncryptoDecrypto
A website to encrypt your message :)
SMARTA01/FaceDetection
Face Detection using OpenCV's Haar Cascade to do face detection on a Webcam image and video.
SMARTA01/Logistic-Regression-Houses-prices
SMARTA01/Machine-Learning
Machine Learning Projects
SMARTA01/Plant-Disease-Classification
SMARTA01/Rainfall-Prediction
Here I've used the australian weather dataset from Kaggle.
SMARTA01/url_shortner
An url shortner using Go, gin, Redis.
SMARTA01/Weather-Website
SMARTA01/Algorithms-1
DS-Algo-python/C++ (HactoberFest 2020!)
SMARTA01/Brain-Tumor-Segmentation-of-3D-MRI-images-using-UNet
Brain tumor segmentation is one of the most important and difficult tasks in the field of medical image processing as a human-assisted manual categorization can result in inaccurate prediction and diagnosis. Furthermore, it is a difficult process when there is a huge amount of data to assist. Because brain tumors have such a wide range of appearances and because tumor and normal tissues are so comparable, extracting tumor regions from images becomes difficult. In this paper, U-Net was used for the detection and segmentation of brain tumors from MRI images. The applied model was evaluated on real images provided by Medical Image Computing and Computer-Assisted Interventions BRATS 2020 datasets. Test accuracy of 99.4% has been achieved using the above-mentioned dataset.
SMARTA01/Call-of-Duty-style-UI
Call of Duty style menu animation with CSS
SMARTA01/cprogram
SMARTA01/Extraction-of-handwritten-text-from-images
SMARTA01/Flutter-Course-Resources
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
SMARTA01/Garments_Classification-
Classification of Clothing items from the Fashion MSNIT Dataset using Keras & Tensorflow
SMARTA01/Hactoberfest2020
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star star to support this project!
SMARTA01/javascript-essential-training-2832077
This repository is for the Linkedin Learning course: JavaScript Essential Training
SMARTA01/Pattern
first
SMARTA01/project-based-learning
Curated list of project-based tutorials
SMARTA01/ryan.warner.codes
My Digital Garden. Built in GatsbyJS.
SMARTA01/Sentiment-Analysis-IMDB
Sentiment Analysis on IMDB movie review datset. IMDB large movie review dataset is a binary classification dataset—all the reviews have either a positive or negative sentiment. Source: https://www.tensorflow.org/datasets/catalog/imdb_reviews
SMARTA01/shortly-web
Web Client for shortly
SMARTA01/SMARTA01
This is the personal profile readme for....mmmm... me.
SMARTA01/smarta01.github.io
SMARTA01/vanta
Animated 3D backgrounds for your website
SMARTA01/Video-calling-APP
A basic video calling app using agora sdk in flutter.
SMARTA01/WebDev
Trying front end development