pranathivemuri Goto Github PK

2020-04-17-czbiohub

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

cell-tracking

covid-if-annotations

Annotation Tool for Immunofluorescence Assay Images

data-version-control

endtoend---predictive-modeling-using-python

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

floodfill

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hovernet_he

hovernet_inference

HoVer-Net inference code for simultaneous nuclear segmentation and classification

image-segmentation-validation

This repo contains notebook showing grayscale to binary image segmentation and validation

jwave

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

kmermaid

k-mer similarity analysis pipeline.

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

paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

rnaseq

RNA sequencing analysis pipeline using STAR, HISAT2 and Salmon with gene counts and quality control

skeletonization

3D Image Skeletonization Tools

skeletonize

stardist

StarDist - Object Detection with Star-convex Shapes

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.

vessels-ct-radius

2D Skeleton of vessels and radius