milindmalshe/Neural-Network-Training-using-Gradient-Descent

Fully-Connected-Neural-Network-PyTorch

Biomedical-Signal-Analysis-and-Integrated-Diagnostics-SAID-Toolbox

Convolutional-Neural-Network-PyTorch

Graph-Cconvolutional-Neural-Network-Polymer-Structure-Prediction

Genetic-Algorithms-Neural-Networks-Parameterization-of-Interatomic-Potential-Functions

Genetic-Algorithms-Parameterization-of-Interatomic-Potential-Functions

Neural-Networks-Training-Tersoff-Potential

Parameterization-of-Interatomic-Potential-Energy-Function-Neural-Networks-Optimization

Generalized-Potential-Energy-Surfaces-using-Neural-Networks-for-Vinyl-Bromide

GPES-Vinyl-Bromide-with-4-Body-Terms

Neural-Networks-Potential-Energy-Surfaces-Simultaneous-Fitting-of-Energy-and-Force-Field-H2Br

DFT-D3

Molecular-Dynamics-Neural-Networks-Vinyl-Bromide

Generalized-Potential-Energy-Surfaces-Periodic-Boundary-Conditions

Generalized-Potential-Energy-Surfaces-using-Neural-Networks-H2Br

Variational-Autoencoder-MNIST-PyTorch

Neural-Networks-Potential-Energy-Surfaces-Fitting-Energy-Forces-with-Prunning

MultiLayer-Perceptron-Training

Generalized-Potential-Energy-Surfaces-Silicon-Clusters

Genetic-Algorithms

Molecular-Dynamics-Simulations-Neural-Networks-Novelty-Sampling