Algorithmic-TITAN
Hello! I am Algorithmic-TITAN, a home-programmer. I like to code in java, and usually with machine learning (Without libraries!) I began coding in python.
Pinned Repositories
Adding_Emotions_to_My_Backpropogation_library
This gradient decent library has not only a determination function, but it has emotions too, as an add on! (Currently the emotions are anger, surprise and excitement)(By emotions, I JUST MEAN BUILT-IN FUNCTIONS FOR EFFICIENT TRAINING)
Flappy_Bird_WITH_AI_TRAINING
Flappy Bird AI Learns How To Play Flappy Bird. I made the flappy bird game my self, and same with the genetic algorithm!
java_generative_adverserial_network_code
This is java code that uses generative adversarial networks to to train, and it is a general library. As a bonus, it graphs how much better the generator/discriminator is than the other, even saving it to file!
Java_string_to_multidimensional_array_converter
This is java code I made that converts strings into 1-4d arrays. This has many uses, such as easy manipulation/storage of arrays in text files, user input to multi-dimensinoal array converters of different datatypes, and more!
Java_version_of_gradient_decent_algorithm_with_add_ons
This is the java version of the gradient decent algorithm I previously made in python, with original add-ons applied
Making_A_Genetic_Algorithm_Library
This is a script that defines a class for training a neural network using a genetic algorithm. You will have to score it yourself (because of the nature of genetic algorithms), but otherwise it works well. The methods included are slice and random crossover, as well as top 2 and weighted pick for the selection method.
Algorithmic-TITAN's Repositories
Algorithmic-TITAN/Making_A_Genetic_Algorithm_Library
This is a script that defines a class for training a neural network using a genetic algorithm. You will have to score it yourself (because of the nature of genetic algorithms), but otherwise it works well. The methods included are slice and random crossover, as well as top 2 and weighted pick for the selection method.
Algorithmic-TITAN/Adding_Emotions_to_My_Backpropogation_library
This gradient decent library has not only a determination function, but it has emotions too, as an add on! (Currently the emotions are anger, surprise and excitement)(By emotions, I JUST MEAN BUILT-IN FUNCTIONS FOR EFFICIENT TRAINING)
Algorithmic-TITAN/Flappy_Bird_WITH_AI_TRAINING
Flappy Bird AI Learns How To Play Flappy Bird. I made the flappy bird game my self, and same with the genetic algorithm!
Algorithmic-TITAN/java_generative_adverserial_network_code
This is java code that uses generative adversarial networks to to train, and it is a general library. As a bonus, it graphs how much better the generator/discriminator is than the other, even saving it to file!
Algorithmic-TITAN/Java_string_to_multidimensional_array_converter
This is java code I made that converts strings into 1-4d arrays. This has many uses, such as easy manipulation/storage of arrays in text files, user input to multi-dimensinoal array converters of different datatypes, and more!
Algorithmic-TITAN/Java_version_of_gradient_decent_algorithm_with_add_ons
This is the java version of the gradient decent algorithm I previously made in python, with original add-ons applied