Search Results for "cuda machine learning"
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Showing 29 open source projects for "cuda machine learning"
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C... -
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openage
Open source clone of the Age of Empires II engine
openage is a free cross-platform RTS game engine that provides the mechanics of Age of Empires. Using modern technologies as C++17, OpenGL/GLSL, Python, Qt5 and CMake allows people using GNU/Linux, BSD, macOS or Windows to play the game natively. Our aim is to make openage a platform for the original Age of Empires games providing the same look and feel, but with more features for modding and multiplayer. openage uses an open API powered by our human-readable configuration language nyan. We... -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
This is the official C++ source code repository of the Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. We are developing a new differentiable simulator for robotics learning, called Tiny Differentiable Simulator, or TDS. The simulator allows for hybrid simulation with neural networks. It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained... -
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ViZDoom
Doom-based AI research platform for reinforcement learning
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community... -
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AirSim
A simulator for drones, cars and more, built on Unreal Engine
... a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles. For this purpose, AirSim also exposes APIs to retrieve data and control vehicles in a platform independent way. AirSim is fully enabled for multiple vehicles. This capability allows you to create multiple vehicles easily and use APIs to control them. -
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PySC2
StarCraft II learning environment
PySC2 is DeepMind's Python component of the StarCraft II Learning Environment (SC2LE). It exposes Blizzard Entertainment's StarCraft II Machine Learning API as a Python RL Environment. This is a collaboration between DeepMind and Blizzard to develop StarCraft II into a rich environment for RL research. PySC2 provides an interface for RL agents to interact with StarCraft 2, getting observations and sending actions. The easiest way to get PySC2 is to use pip. That will install the pysc2 package... -
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Euler
A distributed graph deep learning framework.
... for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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TorchCraft
Connecting Torch to StarCraft
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from a machine learning framework, here Torch. This white paper argues for using RTS games as a benchmark for AI research, and describes the design and components of TorchCraft. TorchCraft is a BWAPI module that sends StarCraft data out over a ZMQ connection. This lets you parse StarCraft data and interact with BWAPI from... -
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Tic Tac Toe (Autonomous) Dhaval Kadia
Experience AI ( Computer Plays with You ) !
SmartPrediction-ENGINE inside Enhanced with Artificial Intelligence Based upon Game Theory Still This is in BETA Phase -
High-performance Open Source API GatewayKrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance.
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Casino-BlackJack
Blackjack skill and card counting training
A simple Casino BlackJack card game written in C# as part of my learning assignment a few years ago and it is not intent to be a full feature game. This project is to demostrate the way to build a simple card game and only cover the very basic of blackjack rule with standard card counting method. To active counting monitor, please select "Manual shuffle on the setting manu. Use this game to train your card counting skill before you go to the real casion. Sorce code available... -
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BagaturChess
Java Chess Engine
This is UCI Chess Engine writen in Java. Since version 1.4 (inclusive) the project was moved to https://github.com/bagaturchess/Bagatur -
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TrackMania Challenge Generator
Challenge generator for racing game 'TrackMania Nations Forever'
A small tool which generates infinite number of different challenges for racing game 'TrackMania Nations Forever'. Currently only "Stadium" environment is supported. Latest release: 1.0.1.0, both English and Chinese version available. -
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Adaptive Difficulty Chinese Chess
A Chinese chess game including an adaptive computer opponent.
This project is an application of POSM algorithm on Chinese chess computer player. A computer player is implemented, which will adapt to the its opponent by adjusting its playing strength accordingly. -
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The Star Ships Learning Framework (SSLF) provides basic routines and methods in order to interact with the space shooter Star Ships V2.1. It provides the necessary interfaces for controlling the program's ships and its logic from outside the game.
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RuleRule
A puzzle game of rules acting upon rules. Create the desired pattern.
RuleRule is a game which might be of interest to students and researchers of AI, machine learning and related areas. In this game, rules act and modify other rules (including themselves). The goal is to reach a desired condition (e.g. a checkerboard of red and yellow). Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari : RuleRule3.zip... -
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caravANDroid
A free open source Android version of Caravan
A free open source porting to Android of the card game Caravan. COPYRIGHT NOTICE: Please note that this project is purely educational and NON LUCRATIVE. This game isn't neither officially licensed nor produced by Obsidian Entertainment, which owns the Fallout Series (© Obsidian Entertainment) and thus the Caravan game itself. -
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Reactor Breeder
A Genetic Algorithm for Reactors in StarMade
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is... -
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
... computer scientists to build relatively complex AI. 3. To provide a set of agents that non-technical people can play around with and get a feel for how various AI techniques work. CoffeeMudForAI goals 1. To provide a platform to study the non-robotic aspects of AI(AI Planning, inter-agent planning, muti-agent planning, Machine learning, etc.) 2. To provide a game-like platform so people coming from the game AI world can contribute to AI research. -
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HoldemAI
Texas Holdem Poker AI
Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers. -
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Swarm Wars
Safety in numbers.
... neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding. -
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OpenSkyNet - Moving towards a comprehensive artificial intelligence solution for game developers under the LGPL. The goals are to implement action selection solvers, robust steering behaviors (including pathfinding algorithms), and machine learning.
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The source code of the Brainstormers' RoboCup champion team 2005 has been made publicly available at the end of 2005. That source code release contains also a lot of our results in applying Reinforcement Learning in the simulated soccer domain.
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