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A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
DocWire SDK, a standout C++17/20 data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis.
The upcoming integration of C++17 and C++20 will bring advanced functionalities, particularly in areas like HTTP capabilities and web data extraction.
For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document...
API for all possible cellular automata that work same at all angles
Its strange how the "sorted pointers" normalizing makes just about any random function, as long as it connects the inputs to the outputs on some path, vibrate as some nonlinear shape of wave. This could be used as a game interface for evolvable musical instruments or fluid puzzle games. Physicsmata is similar in effect to SmoothLife but simpler and pure Java. The cellular automata API takes a function to run at each point. Its parameters are sums of screen brightness (n color dimensions...
NaruGo is game AI project. Current targets are GO board game and Texas Holdem poker. It investigates Genetic programming to build game AI logic. Also EA/GP simulations for TSP, Graph layout and Prisoners Dilemma problem.
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Lithops (the flowering stones) is a program that plays the game of Go. I develop Lithops as a research challenge, but also, importantly, to create a computerized partner for people learning and studying Go.
An object-oriented platform and algorithms for the game of GO.
Aims:
1) A capable engine that can learn through experience.
2) A re-usable algorithmic framework for rapid development of new
GO-playing engines.
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This package contains code for the game of EasyGo, a modified version of the original game of go. This package provides a simple API so that the users can code and test their own players. Thus one can not only play, but also program their own players.
OpenGo is a program and framework for working on AI through software that plays the game of Go. As programming Go is difficult, OpenGo helps by provding commonly used code and user interface so that the engine and algorithms can be focused on.
Ataraxia will provide a generic internet gaming framework in java. Board, table, card games will be easy to be developed! bridge, hearts, spades, rummy, go, connect-4, chess, checkers, monopoly, risk, mahjong and more will come! JXTA P2P will be tested.
JavaGO is an Open Source Java library for the Game of GO (weiqi, baduk) analysis. Implements: base game classes, montecarlo simulations, SGF reader/writer, game variants, GTP, etc. Elegant interfaces/class design. Speed efficient w/small footprint. TDD.
VelbazhdGo is BOINC distributed computing project for training Artificial Neural Networks (ANN), by using Genetic Algorithms (GA), to play the popular gameGo.