Search Results for "neural network visualiser"
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Showing 23 open source projects for "neural network visualiser"
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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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AIMi AI Aimbot
AIMi its an AI aimbot, it work by real-time object detection
AIMi is a Python-based AI aim-assist experiment that uses real-time object detection to identify human-like shapes in game footage. It is built around neural network detection and OpenCV processing rather than direct modification of game files. The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. ... -
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NeuralBot
A general purpose aimbot, which uses a neural network for enemy/target
NeuralBot is a general-purpose aimbot that utilizes neural networks for enemy or target detection. Unlike traditional aimbots that may interact directly with game memory, NeuralBot functions as a "pixel bot," analyzing on-screen pixels to identify targets. This approach makes it versatile across various first-person shooter games without modifying game files. -
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Euler
A distributed graph deep learning framework.
...Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable 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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Sudoku Game Solver Generator
Standalone Complete Sudoku puzzle Game Solver Generator for Windows
...Also there is High Score table and built-in timer for professional players. The Sudoku generation algorithm used by this app is my ultimate proud. Primarily it was based on a Deep Neural Network. But I analyzed more than 100 scientific publications on Sudoku generation problem and have reduced the Deep Neural Network to a relatively simple and very elegant deterministic algorithm that works pretty fast. As a result, the app can generate Sudoku fields in 7 difficulty levels from 'Yellow Belt' to 'Sudoku Game Jedi Master'. ... -
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DarkForestGo
DarkForest, the Facebook Go engine
darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ... -
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neurochess
Self chess learning process by artificial neural network
Self chess learning process by artificial neural network white random attribution to of values of chess game, before to pass opposed value to neural network and the desire successor of board with various part of game chess generated with minimax algorithm. -
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JAS is a java library for creating agent based simulations. It features a discrete-event time engine, APIs for network simulation design, powerful yet easy-to-use implementations of Genetic Algorithms and Neural Networks.
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Aliza Gaming API
An extensible development framework for roleplay games.
AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced... -
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Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.
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RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
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NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
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Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
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Pure Java full-featured multi-player gaming system Pluggable, configurable game engine Distributable, load-balancing, "world engine". flocking, Genetic Algorithms and neural networks 3D clients, ZMUD(tm) clients, regular TELNET access (TCP/UDP
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Zeus is a small, lightweight, very fast object oriented framework for developing neural networks with an integrated shell interface.
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A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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Multilayer neural network sudoku generator that can be trained to produce puzzles with different degree of dificulty and imitate those made by people.
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Nervous System
A C++ Neural Network Toolkit
...This project has merged into another that can be found here: https://github.com/nicrohobak/Toolbox The designer portion is currently on hold. ------------------------------------------------------------ A C++ neural network toolkit. This project is a C++ library for adding, potentially complicated, neural networks to any project. libNervousSystem is developed in conjunction with the GUI tool, Nervous System Designer, to easily generate and train networks for use. -
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VelbazhdGo is BOINC distributed computing project for training Artificial Neural Networks (ANN), by using Genetic Algorithms (GA), to play the popular game Go.
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