Pranathi Vemuri's repositories
vessels-ct-radius
2D Skeleton of vessels and radius
image-segmentation-validation
This repo contains notebook showing grayscale to binary image segmentation and validation
vispy-example-3d
numpy array volume viewer using vispy
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
bioconda-recipes
Conda recipes for the bioconda channel.
Bite-sized-Machine-Learning
Simple example to illustrate machine learning concept
covid-if-annotations
Annotation Tool for Immunofluorescence Assay Images
Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
hovernet_inference
HoVer-Net inference code for simultaneous nuclear segmentation and classification
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
napari
napari: a fast, interactive, multi-dimensional image viewer for python
napari-animation
A napari plugin for making animations
notion-backup
Simple command to backup a Notion workspace
skeletonization
3D Image Skeletonization Tools
test-datasets
Test data to be used for automated testing with the nf-core pipelines.
tflite-runtime
Compiled TensorFlow lite runtime. This interpreter-only package is a fraction the size of the full TensorFlow package and includes the bare minimum code required to run inferences with TensorFlow Lite—it includes only the tf.lite.Interpreter Python class. This small package is ideal when all you want to do is execute .tflite models and avoid wasting disk space with the large TensorFlow library.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.