emmaggie

graphmap

GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Super-Spindle-DataSet

Companion repository for the Super Spindle Dataset paper

BioinformaticAlgorithms

Spectrum of implementations; according to Bioinformatics Algorithms: an Active Learning Approach by

clinvar

Parsing ClinVar data

code

Source Code for Go In Action examples

course-collaboration-travel-plans

coursera

Data sets and scripts for Coursera Big Data Specialization.

DeepLearningAI

Implementations for the deeplearning.ai course

eventsim

Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

example-project

Example Python DS project

fast-neural-style

Feedforward style transfer

fast-style-transfer

art + image -> stylized image ⚡🖥🎨🖼

GA_DAT7

General Assembly Data Science 7 course material

gcp-ml

Google Cloud Platform Machine Learning Samples

go-1

The Go programming language

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

hub

fault tolerant, highly available service for data storage and distribution

linear_regression_demo

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

my-travel-plans

myNBDEVTest

myTest

Nothing to tell

phoenix

Containerize your enterprise - tutorials and resources for learning Kubernetes hands on!

private-ai

Repo for Udacity's Secure & Private AI course

resources

Resources for Go-based data analysis, visualization, machine learning, etc.

TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow_transfer_cifar10

tensorflow_transfer_cifar10

ventureToNBdev