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Overview of GCP and practices. BigQuery, Dataflow, Dataproc, CloudSQL and Datalab

TensorFlow Tutorials with YouTube Videos

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Computation using data flow graphs for scalable machine learning

To run TensorFlow on a single machine, and will train a simple classifier to classify images of flowers.

Face Recognition using OpenCV and Python.

just a simple number test with javascript

Practical lessons to learn python with machine learning

Jupyter Interactive Notebook

This is the code for "Machine Learning & Neuroscience" By Siraj Raval on Youtube

Learn OpenCV : C++ and Python Examples

To answer a question Convert the image to features 'v' Convert the question to a torch vector of longs Pass both into the the VQA model Interpret the softmax-y answer vectors

My portfolio site with Jekyll and Github Pages

The Leek group guide to data sharing

This is the exercise on Convolutions for Computer Vision

A repository with IPython notebooks of algorithms implemented in Python.

Example codes for the "Introduction to Parallel Coding" Lunchtime Taster sessions given in March/April 2019.

Script written to facilitate the analysis of the reverberation time T_{60} of a room by performing a linear fit of the amplitude drop in a provided reverberation recording.