Search Results for "learning"

As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. 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.

Based on the great opengl tutorial website (http://nehe.gamedev.net), I am extracting some common API in a very object oriented programming fashion. Once the API is complete, I will start porting it to more modern versions of OpenGL. This is not really new, but it is my way of learning...

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.

see this video : http://www.youtube.com/watch?v=C_JWw4R72nw It is a good framework for learning Physics in simulation, Water, splash, wave and collision detection all writen with object oriented programming in c++ Yes, it is similar World of goo!! but it is a test framework for working with Simple Direct media layer and physics engine. Currently I don't work in this project, you can use it under NEW BSD license.

Brainable is a C++ library containig AI tools for game developpement. You will find in it classes about steering behaviors, pathfinding, learning, decision making... Brainable contains softwares to design graphically different parts of the AI engine.