The most cited deep learning papers

Latex code for making neural networks diagrams

A technical report on convolution arithmetic in the context of deep learning

Classical equations and diagrams in machine learning

A modern LaTeX Beamer theme

Release repo for our SLAM Handbook

Pen and paper exercises in machine learning

The English version of 14 lectures on visual SLAM.

Exercises for the Deep Learning textbook at www.deeplearningbook.org

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

The Standard Algorithms in C++.

Learning Deep Representations of Data Distributions

Efficient feature extraction, aggregation and classification for action recognition (CVPR 2014)

Autonomous Literature Overview

Juho Hirvonen and Jukka Suomela: Distributed Algorithms 2020

Common Code Workflow tutorial on Theano

review of Deep Learning for Nature

Library for simulating time binned photons in Waveguide Quantum Electrodynamics

Thesis redaction and LaTeX template