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3d_pose_estimation_cvpr2016

adawhatever

MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.

ae-1svm

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

aima-csharp

C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-javascript

Javascript visualization (and implementation) of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithms

Algorithms

alphago_demo

This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube

analyticsvidhya_blackfriday

Black Friday Hackathon

and4nmf

Code for the AND algorithm for Non-negative matrix factorization.

andengine

Free Android 2D OpenGL Game Engine

androidtensorflowmachinelearningexample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

arduino-signal-filtering-library

Arduino library for signal filtering

arff-datasets

The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)

ars

An implementation of the Augmented Random Search algorithm

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-r

A curated list of awesome R packages, frameworks and software.

bag_of_words_classification

An experiment on text classification entirely based on word frequencies

bagging-boosting-random-forests

Bagging, boosting and random forests in Matlab

bagoffeatures

Bag-of-Features model for image classification (Octave)

barnum-proj

Python application for generating pseudo-random data

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basis-expansion

Generates features according to different non-linear basis expansion methods like Recht and Rahimi’s Random Fourier Features

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

blender

Blender support for the Shadow motion capture system.

capslayer

CapsLayer: An advanced library for capsule theory

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".