Pinned Repositories
DiffFlow
[Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
hello_world
For learning how to use Github
models
Models and examples built with TensorFlow
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
ZeroCSIS's Repositories
ZeroCSIS/hello_world
For learning how to use Github
ZeroCSIS/models
Models and examples built with TensorFlow
ZeroCSIS/NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.