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amazon-sagemaker-examples

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

bdi-2018-jupyterhub

This repo contains the interactive notebooks used in my talk, "Machine Learning from Scratch". If you're a BDI attendee, check the README for help getting the notebook running on your machine.

big-data-ignite-2018

Code and presentation for my talk "Machine Learning from Scratch", given at the Big Data Ignite Conference, in Grand Rapids, MI, Sept. 19-21.

data-replication-on-kubernetes

Tutorial on deploying Singer taps and targets on Kubernetes with Argo Workflows

dbt-athena

The athena adapter plugin for dbt (https://getdbt.com)

drsa

An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.

ezc3d

Easy to use C3D reader/writer for C++, Python and Matlab

islr-python

Labs and Exercises from "An Introduction to Statistical Learning", implemented in Python.

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

openbiomechanics

The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

slateq

A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms

streamlit-docker

Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.

tap-activitywatch

tap-sleeper

Singer Tap for the sleeper API built with the Meltano SDK. 🏈