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 🤖
Script collection used to generate routing data for Road2 (https://github.com/IGNF/road2)
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
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…
Solving Block Sudoku puzzle by Genetic Algorithm (Machine Learning)
A Study of Deep Perceptual Metrics for Image quality Assessment
mathematically illiterate experiments on dungeon generation
LCG Based Pseudorandom Name Generation Proof-of-Concept
Reproduction du jeu "Flappy bird" via le moteur de jeu Unity en C#.
Binded project to generate 2D dungeon with multiple floor with multiple rooms on each one.
An in-progress Android app showcasing an interactive map with all the available businesses within Ras al Khaimah, UAE.
The MomTrunc R package computes arbitrary products moments (mean vector and variance-covariance matrix), for some doubly truncated (and folded) multivariate distributions.
Génération de guides de cages moléculaires
A repository to make and solve mazes with different algorithms
An intercontinental network of metropolitan areas organised by river basins, commuting patterns and ruled by generational career paths.
Report for INFO4900 Independent Research under Prof. Dawn Schrader. Surveyed bias detection and mitigation methods in language models. Identified emerging Language Model tasks where existing mechanisms fail. Designed a novel fairness test and proposed a framework to update large language models when what society considers fair changes.
Maze Solver using graph theory made by C++
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