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Stars 8

Watchers 4

Forks 7

Last Commit 4 days ago

Description

sudo apt install cmake g++ git libboost-all-dev libxss-dev libx11-dev libxcb-screensaver0-dev libopengl-dev git clone https://github.com/ohhmm/openmind cd openmind mkdir build cd build cmake .. -DCMAKE_BUILD_TYPE=Debug -DBOOST_INCLUDE_DIR=/usr/include -DOPENMIND_BUILD_TESTS=OFF make -j8

As result you can see following libraries produced: FEATURED ./omnn/math/libmath.a - the libmath which describes Valuable and Variable polymorphic types DEPENDENCY ./lib/libleveldb.a - LevelDB used by libmath for transparent solutions caching FEATURED ./omnn/extrapolator/libextrapolator.a - deducing extrapolator based on libmath PREVIEW ./omnn/rt/libomnn.a - openmind neural network library PREVIEW ./omnn/ct/libct.a - compile-time lib FEATURED ./OpenMind/libOpenMind.a - asynchronous goal-oriented state machine

Programming language: C++

License: BSD 3-clause "New" or "Revised" License

Tags: Artificial Intelligence Machine Learning Math Scientific Computing Optimization Numerical Processing Linear Algebra Polynomial Dependency

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They vary from L1 to L5 with "L5" being the highest.

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README

openmind

Compilation:

Ubuntu 20.04

sudo apt install cmake g++ git libboost-all-dev libxss-dev libx11-dev libxcb-screensaver0-dev libopengl-dev
git clone https://github.com/ohhmm/openmind
cd openmind
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Debug -DBOOST_INCLUDE_DIR=/usr/include -DOPENMIND_BUILD_TESTS=OFF
make -j8

As result you can see following libraries produced:
FEATURED ./omnn/math/libmath.a - the libmath which describes Valuable and Variable polymorphic types
DEPENDENCY ./lib/libleveldb.a - LevelDB used by libmath for transparent solutions caching
FEATURED ./omnn/extrapolator/libextrapolator.a - deducing extrapolator based on libmath
PREVIEW ./omnn/rt/libomnn.a - openmind neural network library
PREVIEW ./omnn/ct/libct.a - compile-time lib
FEATURED ./OpenMind/libOpenMind.a - asynchronous goal-oriented state machine

Features:

Basic Goals Framework

Asynchronous Interface
Tracking
Dependencies
Goal Generators
Goal reaching system
Facilities framework
Results processing

Generic context framework - is currently in work and at repository only partially.

Basically its meant to be like Sufix tree (like Trie, but Sufix tree) but more generic upon finish.
Its planned to make its nodes able to be the Context structures as well.

Please Donate to help reach this plans:

Plans:

To complete Generic Context Framework
Implement self learning Chatbot as OpenMind sample
lobby of dynamic class generation to C++ standard
Introduce Neural network support as part of current Facilities framework
context based neural network serialization and swapping

Support: [email protected]

Bitcoin: 17JNBmpsDxp1d4jcAh7qthSN4VRcN9EDxQ

Thank you very much, appreciate your support.