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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

anndata

Annotated multivariate observation data

app-init

awesome-bioinformatics

celda

Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data

cellforest

A highly interactive single-cell bioinformatics workflow management library. Built with dataforest

cellforest-contrib

chowderx

A genotype-based ambient RNA QC and correction tool for genotype multiplexed scRNA-seq

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

datacrate

A data science container with RStudio and tricked out Jupyter Lab

dataforest

A highly interactive data science workflow management library

ehr-dashboard

scraper + interactive visualization tool for MyChart

h1b_statistics

hyperline

✨ Status line plugin for Hyper ✨

keypoint-consensus-motion-correction

A novel motion correction algorithm which uses a keypoint consensus algorithm across frames to reduce noise

magenta

Magenta: Music and Art Generation with Machine Intelligence

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

nucleate

omnipath

Python client for the OmniPath web service

peep-dis

A colorful python CLI object inspector

poolpredictor

py-patterns

Python design patterns, idioms, and best practices

python-shaman

scanpy

Single-Cell Analysis in Python. Scales to >1M cells.

scgsea

A single-cell GSEA python wrapper with meta and group analysis and visualization methods

scvi-tools

Deep generative modeling for single-cell omics data

slick_pycharm

A PyCharm settings repository with a sublime color scheme and a convenient debugging keymap

style-stack

A library for similarity search for art and design images

tunator

Using machine learning to generate melodies similar to your favorites

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.