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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

apache-airflow-course

Public source code for the Udemy online course Apache Airflow: Complete Hands-On Beginner to Advanced Class.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

automated-machine-learning-with-microsoft-azure

Automated Machine Learning with Microsoft Azure, published by Packt

azure-machinelearning-datascience

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

capacitatedvehiclerouting

Optimizing Capacitated Vehicle Routing Problem (CVRP) using Mixed Integer Programming, iteratively. Uses PuLP library. Mixed Integer Model used is in page3,4 of https://arxiv.org/pdf/1606.01935.pdf

capstone-project-1

Data visualization for NYU taxi time prediction

coursera-ml

Machine Learning with Coursera

coursera_applied_data_science_with_python_specialization

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-pipelines-with-apache-airflow

Code for Data Pipelines with Apache Airflow

data-science-ibm

repository for IBM Data Science Professional Certificate @ Coursera

data-visualization

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

ddia-references

Literature references for “Designing Data-Intensive Applications”

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-neural-networks-with-pytorch

Developing deep learning models using Pytorch

deeplearningexamples

Deep Learning Examples

demo_test

ibm course

demo_test1

demotest2

distillation

Distillation column simulation.

doing_data_science

This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)

equipment_routing

Python wrappers and functions for determining delivery dates and truck routes for single, large-commodity delivery network leveraging PuLP and COIN-OR

examples

TensorFlow examples

google-maps-services-python

Python client library for Google Maps API Web Services

gpxpy

gpx-py is a python GPX parser. GPX (GPS eXchange Format) is an XML based file format for GPS tracks.

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"