Pinned Repositories
ctlearn
Deep Learning for IACT Event Reconstruction
autoencoders-and-serial-autoencoders
CTGANs
Generative adversarial networks for conditional generation of images from Cherenkov telescopes (IACTs).
ctlearn
Deep Learning for IACT Event Reconstruction
deep-diffusion-maps-and-deep-diffusion-autoencoders
Implementation of Diffusion Maps using neural networks and combination of Diffusion Maps with Deep Autoencoders.
deep-quantum-sensing
Deep learning to make predictions from quantum sensor measurements
diffusion-maps
Diffusion maps algorithm for manifold learning (dimensionality reduction) with Python and optimized with Numba
ecosystem-simulation
Simulation of competitive ecological communities of sessile individuals
MNIST_GANs
Generative adversarial networks for conditional generation of images from MNIST dataset
quantum-sensor-simulation
Simulate the interaction between two systems of spins (sensors and targets)
sgh14's Repositories
sgh14/quantum-sensor-simulation
Simulate the interaction between two systems of spins (sensors and targets)
sgh14/autoencoders-and-serial-autoencoders
sgh14/CTGANs
Generative adversarial networks for conditional generation of images from Cherenkov telescopes (IACTs).
sgh14/ctlearn
Deep Learning for IACT Event Reconstruction
sgh14/deep-diffusion-maps-and-deep-diffusion-autoencoders
Implementation of Diffusion Maps using neural networks and combination of Diffusion Maps with Deep Autoencoders.
sgh14/deep-quantum-sensing
Deep learning to make predictions from quantum sensor measurements
sgh14/diffusion-maps
Diffusion maps algorithm for manifold learning (dimensionality reduction) with Python and optimized with Numba
sgh14/ecosystem-simulation
Simulation of competitive ecological communities of sessile individuals
sgh14/MNIST_GANs
Generative adversarial networks for conditional generation of images from MNIST dataset