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anmlzoo

High-performance automata-processing engines are traditionally evaluated using a limited set of regular expression rulesets. While regular expression rulesets are valid real-world examples of use cases for automata processing, they represent a small proportion of all use cases for automata-based computing. With the recent availability of architectures and software frameworks for automata processing, many new applications have been found to benefit from automata processing. These show a wide variety of characteristics that differ from prior, popular regular-expression benchmarks, and these should be considered when designing new systems for automata processing. This paper presents ANMLZoo, a benchmark repository for automata-based applications as well as automata engines for both von-Neumann and reconfigurable data flow architectures.

apsim

blackjack_rl

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

db-readings

Readings in Databases

deepgraphprocessor

deepsuperresolution

espresso-logic

A modern (2017) compilable re-host of the Espresso heuristic logic minimizer.

ffmpeg

mirror of git://source.ffmpeg.org/ffmpeg.git

gapbs

GAP Benchmark Suite

graph-processing

This repository contains information about graph processing.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

prml

PRML algorithms implemented in Python

python-vimrc

VIM Configuration for Python / Cython / C Development

pytorch-tutorial

Build your neural network easy and fast

pytorchdeepsr

rezawebpage

srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

vasim

VASim is a virtual homogeneous non-deterministic finite automata automata simulator and transformation tool. VASim can parse, transform, simulate, and profile homogeneous NFAs, and is meant to be an open tool for automata processing research. VASim can also be extended to support hypothetical automata processing elements.