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automata

Cellular automata image generator. Intended to be used with graphs and the networkx library to generate graph automata, eventually.

automatatron

Python cellular automata engine

automated-feature-engineering

Automated feature engineering in Python with feature tools

automatic-bridge-bidding-by-deep-reinforcement-learning

The released model of the paper 'Automatic Bridge Bidding by Deep Reinforcement Learning' in ECAI 2016

automl

Deep Learning with Metaheuristic

automlr

autonn

A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation

autotoolsforisis

This is a collection of scripts that will apply an Autotools build system to the USGS ISIS source code.

autoware

Open-Source To Self-Driving.

autoweka

Auto-WEKA

autozotbib

auvsi-cv-all

All files for the online Computer Vision Training for AUVSI Foundation Teams

auvsi-cv-linedetection

Learn how to detect lines using MATLAB. The concept of a Hough Transform is demonstrated to show how to use them to extract line segments. Tips on some preprocessing techniques are also provided to improve line detection results. An example of lane detection is used to explain these concepts.

auvsi-cv-motionestimation

Learn how we perceive motion and how to estimate motion using a technique called Optical Flow. You can use three algorithms to implement optical flow using the Computer Vision Toolbox. These three algorithms are Horn-Schunck method, Farneback method, and Lucas-Kanade method. An example of a robot boat moving through a field of buoys will be used.

auvsi-cv-objecttracking

Learn how to track an object across video frames. Object tracking using histogram based tracking, tracking occluded or hidden objects using a Kalman Filter, and multiple objects tracking are covered. An example of tracking a moving ball will be used.

auvsi-cv-pointcloud

Learn how to read, load and visualize point clouds using MATLAB and pre-process the data by down sampling and de-noising. You will also learn how to apply affine transforms like translation and rotation. Finally, you will learn how to fit point clouds to geometric shapes and how to extract a region of interest from images using point clouds.

auvsi-cv-stereovision

Learn how to import and display stereo vision images. Also understand how to calibrate stereo cameras, rectify images to align them horizontally, generate disparity maps and create point clouds with scene reconstruction.

auxiliary

Auxiliary files needed by others projects

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

avoplotprosail

Avoplot plugin to allow ProSAIL plotting

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

awesome-capsnet

A curated list of deep learning resources for capsule networks (CapsNet)

awesome-cbir-papers

Awesome and classical image retrieval papers

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-1

awesome-deep-learning-code