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latex-beamerposter

The LaTeX beamerposter package

learning-machine-learning

Machine learning algorithms I implemented using different programming languages.

learning_to_execute

Learning to Execute

loadcaffe

Load Caffe networks in Torch7

locnet

LocNet: Improving Localization Accuracy for Object Detection

lstm

mac-dev-setup

A beginner's guide to setting up a development environment on Mac OS X

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

math-350

Introduction to Analysis - Homework and Lectures

math116

Math 116 Lecture Notes

matrix-cookbook

meetup-fall-2013

Slides, code, and other information relating to the Fall 2013 Meetups

mitchell-machine-learning

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-resources

Machine Learning Resources

mlss

Machine Learning Summer School

mlss2014

CMU Machine Learning Summer School Competition

morb

Modular Restricted Boltzmann Machine (RBM) implementation using Theano

morphing_faces

Repository for the Morphing Faces demo

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

notebook

Collection of IPython notebooks for demonstrating software.

notes

notes on different topics from ml to stats and vice versa

notes-1

numerical_mathematics

ods

Mission: To provide a high-quality open content data structures textbook that is both mathematically rigorous and provides complete implementations.

omniglot

Omniglot data set for one-shot learning

openface

Face recognition with Google's FaceNet deep neural network.