Benchmarks

We provide some benchmarks with OpenANN.

Python scripts that download required dataset, execute benchmarks and display the results are provided for all benchmarks. They are located in the corresponding build directory and are called "benchmark.py".

Classification

• MNIST
• P300 Speller
• Two Spirals
• CIFAR-10
• Iris Flower Dataset

Regression

• SARCOS Inverse Dynamics Problem

Reinforcement Learning

• Pole Balancing
• Octopus Arm