Pinned Repositories
ai-segway
Using different methods (Simulated Annealing, Local Beam Search) to train a Segway controller.
ai-segway-2
Using a Genetic Algorithm to train a Segway controller.
Arm
A project with PhD. Bruno Castro da Silva at INF-UFRGS
BraessParadox
Experiments on Braess Paradox.
knapsack-GA
Knapsack problem solved with a Genetic Algorithm.
miRNA_predict
Combining Performance and Diversity Measures for Optimizing Classification Ensembles via a Genetic Algorithm in the miRNA-Target Prediction Problem
neural_net
Neural Network implementation in Python
random_forest
Random Forest implementation in Python
sop-simulated-annealing
SOP (Sequential Ordering Problem) solved with Simulated Annealing.
tetris
MLP - Tetris em LP Funcional
skakim's Repositories
skakim/BraessParadox
Experiments on Braess Paradox.
skakim/sop-simulated-annealing
SOP (Sequential Ordering Problem) solved with Simulated Annealing.
skakim/tetris
MLP - Tetris em LP Funcional
skakim/ai-segway
Using different methods (Simulated Annealing, Local Beam Search) to train a Segway controller.
skakim/ai-segway-2
Using a Genetic Algorithm to train a Segway controller.
skakim/Arm
A project with PhD. Bruno Castro da Silva at INF-UFRGS
skakim/knapsack-GA
Knapsack problem solved with a Genetic Algorithm.
skakim/miRNA_predict
Combining Performance and Diversity Measures for Optimizing Classification Ensembles via a Genetic Algorithm in the miRNA-Target Prediction Problem
skakim/neural_net
Neural Network implementation in Python
skakim/random_forest
Random Forest implementation in Python
skakim/ai-simulators-sandbox
Artificial Intelligence course simulators, developed for future classes.
skakim/AoC-2017
AoC 2017
skakim/bb-reviews-starter
Bulletin Board Reviews Starter Project
skakim/compiladores
skakim/deap
Distributed Evolutionary Algorithms in Python
skakim/Pinta
Simple Gtk# Paint Program
skakim/t2fs
File System implemented in C.