A curated list of awesome projects which use Machine Learning to generate synthetic content.
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Updated
Mar 14, 2023
A curated list of awesome projects which use Machine Learning to generate synthetic content.
Freeform Body Motion Generation from Speech
🖼️ A simple ChatGPT AI tutorial on how to generate images/text/code and its limitations 🤖
A Study of Deep Perceptual Metrics for Image quality Assessment
Contains map generation and path finding
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic alg…
Script collection used to generate routing data for Road2 (https://github.com/IGNF/road2)
Solving Block Sudoku puzzle by Genetic Algorithm (Machine Learning)
mathematically illiterate experiments on dungeon generation
Reproduction du jeu "Flappy bird" via le moteur de jeu Unity en C#.
An in-progress Android app showcasing an interactive map with all the available businesses within Ras al Khaimah, UAE.
Project Original: https://github.com/avli/ascii-owrpg
A generation algorithm AI implementation on a racing simulator.
A repository to make and solve mazes with different algorithms
C++ App that generates a Maze or read a Maze from a text file and Let the user either solve it on his own or use Graph Searching Algorithms to Solve it or Do both
Small library to create 2D worlds and chunks in side-view.
The MomTrunc R package computes arbitrary products moments (mean vector and variance-covariance matrix), for some doubly truncated (and folded) multivariate distributions.
Binded project to generate 2D dungeon with multiple floor with multiple rooms on each one.
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