Tutorial on how to create your own object detection dataset and train using TensorFlow's API

Documentation and library for decoding omnipod communications.

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

Machine Learning for Music and Sound Synthesis workshop

Research by Carlos Góes

[obsolete] Static Widgets for IPython Notebooks

Full train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN

A End to End CNN Model which predicts the steering wheel angle based on the video/image

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

Anomaly detection algorithm implementation in Python

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Tensorflow 2.0 Quick Start Guide, published by Packt

Harry Potter and the Allocation of Dirichlet

A use-case focused tutorial for time series forecasting with python