An Intuitive Tutorial to Gaussian Processes Regression

Open Source Computer Vision Library

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

A book covering the fundamentals of data visualization

Collection of examples for pytroll satellite data processing

This repository contains curated technical interview questions by fn+geeks community

Superpixel Segmentaion Using Gaussian Mixture Model

Repo for Udacity's Secure & Private AI course

Resources for "Introduction to Deep Learning" course.

Papers Discussion Club (for Secure and Private AI Scholars... and their friends)

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

An intuitive approach to creating deep learning models

Virtual Machine Launcher on top of Docker

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A MNIST-like fashion product database. Benchmark 👇

TensorFlow examples

Face recognition using Tensorflow

A list of popular github projects related to deep learning

A list of popular github projects related to deep learning

Keras code and weights files for popular deep learning models.

Redis Operator creates/configures/manages high availability redis with sentinel automatic failover atop Kubernetes.

A desktop application running a deep learning model that recognizes and localizes multi-digit house numbers in real time (without GPU).

Public facing notes page

⚠️(OBSOLETE) Curated applications for Kubernetes

Go Training Class Material :

The fastai deep learning library

Archive of the Coding Train website (first version)

Apache Spark - A unified analytics engine for large-scale data processing