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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python-oauth2

A fully tested, abstract interface to creating OAuth clients and servers.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qgis-tutorials

Source files for sphinx-based website

r-functions

rna-seq-star-deseq2

RNA-seq workflow using STAR and DESeq2

rnoaa

R interface to many NOAA data APIs

sample-python-connector

Sample Python connector to the Gnip streaming services

sartools

Statistical Analysis of RNA-Seq Tools

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

singlecnn

CNN models with single convoluton layer to predict transcription status of genes during cotton fiber development

sm-demo

Training session for ML on AWS

smpq-linking

Code to perform record linkage on the STAR METRICS and ProQuest data sets, as well as create summary tables.

sql-masterclass

sql-viz-project

Simple Python project demonstrating using data from a relational database to create a visualization

sra-tools

SRA Tools

star

RNA-seq aligner

streamlit-framework

Basic template for using Streamlit on Heroku

summer-institute

support

Git Support Utilities

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

torchrl

A Java implementation of the Fellegi-Sunter algorithm for record linkage

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

wids_dataviz

Code and resources for the Charlottesville Women in Data Science workshop on Data Visualization with Python and Jupyter Notebooks

yellowbrick

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