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pyspark

pyspark

python-examples

Example code in Python

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

reinforcement-learning-examples

Implementation of examples & exercises from the Sutton & Barto book Reinforcement Learning An Introduction

remoterehabilitationkinect

Remote Rehabilitation application for exercise tracking for knee and hip abduction at home with Kinect

rl-robot

Reinforcement Learning framework for Robotics

scala-examples

Example code in Scala

seldon-server

Serves predictions via a REST API

shellshocker-pocs

Collection of Proof of Concepts and Potential Targets for #ShellShocker

skip-thoughts

sparsebayesianrnn

srnn-brain-modelling-toolbox

Spatiotemporal Dynamics in Spiking Recurrent Neural Networks using Optimization-based Modelling for EEG signals

ssql-eccv2022

PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)

stanford-machine-learning-course

machine learning course programming exercise

stanford.nlp.net

Stanford NLP for .NET

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stochlwta-ml

Code Implementation for Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

talks

List of talks

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tesseract

Tesseract Open Source OCR Engine (main repository)

tutorial-softweightsharingfornncompression

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

tutorial_bayesiancompressionfordl

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

vae

Variational Autoencoder / Deep Latent Gaussian Model demo

vae-tensorflow

Implementation of a Variational Auto-Encoder in TensorFlow

variational-dqn

Variational DQN encourages efficient exploration and allows for parameter update using black box variational inference

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

website

Provisional draft of the website

worlds-simplest-csharp-wpf-mvvm-example

The World's Simplest C# WPF MVVM Example