Amordia
👀: AI for Science | Astrophysics & Planetary Science | Interdisciplinary ❗:More is no label and beyond the definition 📧:ssyyx20@nottingham.edu.cn
University of Nottingham Ningbo ChinaGuangzhou/Ningbo, China
Pinned Repositories
FluidizedBed-NNPrediction-MATLAB
A Neural Network based model to predict particle concentration and gas concentration distribution in a fluidized bed using MATLAB.
GalaxyMorphology-CAE
Semi-supervised galaxy morphology classification using Convolutional AutoEncoders (CAE). This repository contains the implementation, visualizations, and results of the CAE-based classification.
GalaxyMorphology-MoCo
Semi-supervised galaxy morphology classification leveraging the Momentum Contrast (MoCo) deep learning technique
GalaxyMorphology-ResNet50
Supervised galaxy morphology classification using ResNet50. Contains full implementation, datasets, and results.
MADLens
A differentiable lensing simulator. This code is used to generate a large number of training samples of the weak gravitational lens mass distribution for the subsequent deep learning cosmological extraction.
CACViT-AAAI24
Official implementation of Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
COMP1039-Programming-Paradigm-Revision
Answer to past paper of COMP1039
COMP1047-SA-Revision
Systems and Architecture (COMP1047) Revision
DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Python
All Algorithms implemented in Python
Amordia's Repositories
Amordia/COMP1039-Programming-Paradigm-Revision
Answer to past paper of COMP1039
Amordia/COMP1047-SA-Revision
Systems and Architecture (COMP1047) Revision
Amordia/FluidizedBed-NNPrediction-MATLAB
A Neural Network based model to predict particle concentration and gas concentration distribution in a fluidized bed using MATLAB.
Amordia/MADLens
A differentiable lensing simulator. This code is used to generate a large number of training samples of the weak gravitational lens mass distribution for the subsequent deep learning cosmological extraction.
Amordia/GalaxyMorphology-ResNet50
Supervised galaxy morphology classification using ResNet50. Contains full implementation, datasets, and results.
Amordia/GalaxyMorphology-CAE
Semi-supervised galaxy morphology classification using Convolutional AutoEncoders (CAE). This repository contains the implementation, visualizations, and results of the CAE-based classification.
Amordia/GalaxyMorphology-MoCo
Semi-supervised galaxy morphology classification leveraging the Momentum Contrast (MoCo) deep learning technique
Amordia/DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Amordia/Python
All Algorithms implemented in Python