mtyhon Goto Github PK

ace

Official code for the paper "Arbitrary Conditional Distributions with Energy".

astro-ml-hackathon-2024

astropinn

Physics Informed Neural Networks for Astronomy ODEs

bochamm

Bayesian Optimisation for the Characterisation of Mixed Modes.

ckconv

Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" https://arxiv.org/abs/2102.02611

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-sub

Asteroseismic inference of subgiant star fundamental parameters using deep learning

deeptemporalclustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

eleanor

A tool for light curve extraction from the TESS FFIs.

herokuapp

hyphc

Hyperbolic Hierarchical Clustering.

image_data

latent-ode

Reproduction of Latent ODEs for Irregular-Sampled Time Series [arXiv 1907.03907]

magnet-slosh

MultiSLOSH using Magnet Loss for Metric Learning

mdma

PyTorch implementation of the Marginalizable Density Model Approximator

medsam

This the official repository for MedSAM: Segment Anything in Medical Images.

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

modelflows

Normalizing Flows for the Emulation of Grids of Stellar Models

mtyhon.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nflows

Normalizing flows in PyTorch

pytorch-dagmm

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

rg_classification

Deep learning classification of the asteroseismic evolutionary state of red giants

rotation-viewer

rpsmf

Code for Probabilistic Sequential Matrix Factorization

shap

A unified approach to explain the output of any machine learning model.

starclass

Stellar Classification

tess-prediction