Parvathy Kurup's repositories
terraform-guide
Master Terraform in 7 days using this Zero to Hero course.
flutter-complete-guide-course-resources
Course resources (code snapshots & slides) for our complete Flutter & Dart course (https://acad.link/flutter).
Brain-Tumor-Segmentation-using-BRATS-22-Challenge
This study is to bring out more advanced, efficient, and faster automata for the segmentation and detection of brain tumors.
pk2203
Helloooo
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Semantic-Segmentation-Architecture
A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.
Pydicom_imgmodification
For future references - involves snippet to deal with images encoded under dicom image extensions
Dash_Plotly-Db-Console
A simple database console made with dash-plotly and HTML, CSS and elements of Bootstrap to offer quick and efficient querying of data
GDCM
Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
BraTS21
Solution of the RSNA/ASNR/MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021
MissingValues_ImputationWithEDA
or this challenge, you are given (simulated) manufacturing control data that contains missing values due to electronic errors. Your task is to predict the values of all missing data in this dataset. (Note, while there are continuous and categorical features, only the continuous features have missing values.)
BasicLinear_LogRegression
Noob level predictive analysis models
animal_classification
Image Classification Flutter app which can detect animals with the help of the TensorFlow Lite Model.
HackOff---Brain-Tumor-Detection-Web-app
This repository contains the code for the project submission for HackOff V3.0.
CyclicGAN_API
This repository contains the implementation of CyclicGAN from the official Research Paper.
HistoGAN
Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019.
CycleGAN-tensorflow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf