tlohani31

PyAthena

PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.

or-gym

Environments for OR and RL Research

aws-data-wrangler

Pandas on AWS

amazon-sagemaker-examples

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

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

Gnu-RL

A precocial reinforcement learning solution for HVAC control

model_validation_tutorial

Tutorial of machine learning model validation

document-clustering

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

mapping-geographic-data-in-r

Files relating to the "Mapping Geographic Data in R" workshop at ODSC Boston, 2019

dimensionality_reduction_viz

Network-Analysis-Made-Simple

For PyCon, PyData, ODSC, and beyond!

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

openshift-ml-workflows-workshop

This is material for a tutorial that @sophwats and @willb developed about machine learning workflows and about running them on OpenShift

introtoml

ML utils

DSND_Term1

Contains files related to content and project of DSND

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

Reinforcement_Learning_for_Traffic_Light_Control

Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

DSND_Term2

Contains files related to content and project of DSND Term 2

inter_workshop

Workshop materials for ODSC 2019 Interpretability Talk

odsc-west-2018-visualization

ODSC West 2018 - Data Visualization: From Square One to Interactivity

odsc-west-2018-missing-data

ODSC West 2018 - Good, Fast, Cheap: How to do Data Science with Missing Data

Reinforcement-Learning-Explained

This repository contains the lab files for Microsoft course DAT257x: Reinforcement Learning Explained

ODSC-missing-data-may-18

Open Data Science Conference East, 2018: Data Science with Missing Data

ODSC_Neural_Nets_11-04-17

Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017

dd-panel-blog

Code for Intro to Difference-in-Differences Blog Post