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Python Data Science Handbook: full text in Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Automatic extraction of relevant features from time series:
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Reference models and tools for Cloud TPUs.
Text and supporting code for Think Stats, 2nd Edition
Single Shot MultiBox Detector in TensorFlow
Repo for the Deep Learning Nanodegree Foundations program.
Jupyter notebooks from the scikit-learn video series
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
A few exercises for use at events.
Demonstrations of Magenta Models
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
IPython kernel for Torch with visualization and plotting
"Neural Turing Machine" in Tensorflow
Sentiment Analysis with LSTMs in Tensorflow
TensorFlow Implementation of "Show, Attend and Tell"
Slides and code from our TensorFlow workshop.
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Introduction to Deep Learning for Natural Language Processing
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
TensorFlow implementation for audio neural style.
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Right Ventricle Cardiac MRI Segmentation
Oxford Deep NLP 2017 course - Practical 1: word2vec
Experimental algorithms. Unsupported.