Hummingbird compiles trained ML models into tensor computation for faster inference.

Visualize and compare datasets, target values and associations, with one line of code.

Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

Notebooks for learning deep learning

A collection of various deep learning architectures, models, and tips

A scikit-learn compatible Python toolbox for machine learning with time series

TFX is an end-to-end platform for deploying production ML pipelines

Revision to the code and associated files for the AI Programming with Python Nanodegree Program

Code and associated files for the AI Programming with Python Nanodegree Program

A booklet on machine learning systems design with exercises

TensorFlow Estimator

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

Pothole detection via Mask Rcnn

task specific utilities functions for pyspark

Machine Learning Resources, Practice and Research

Pothole Detection Using Computer Vision (Masked-RCNN)

License Plate Detection and Recognition in Unconstrained Scenarios

coursera courseware assignments and codes for Introduction to Deep Learning

Cheat Sheets

Math for Data Science

Data Science Tutorials

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

A curated list of awesome Deep Learning tutorials, projects and communities.

Models and examples built with TensorFlow

Python chatbot 💬

Exercise notebooks for CVND.

Open Machine Learning Course

Companion webpage to the book "Mathematics For Machine Learning"

Machine Flow enables visual execution and tracking of machine learning workflows. Users dynamically create dependency graphs, with each node responsible for executing a task and displaying results.

Duke University Introduction to Deep Learning, Fall 2018