melmac-selah Goto Github PK

ai4datingstars

AI for dating stars: a benchmarking study for gyrochronology

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

bayesian-neural-networks-reading-list

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers.

bayesianneuralnetworks-mcmc-tutorial

Bayesian neural networks via MCMC: tutorial

blackholeml

Supervised Machine Learning for X-ray Data Classification of Black Hole X-ray Binaries

ccl

DESC Core Cosmology Library: cosmology routines with validated numerical accuracy

deep-ensembles

Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

from-dark-matter-to-galaxies-with-convolutional-networks

github-slideshow

A robot powered training repository :robot:

hands-on-quantum-machine-learning-with-python-vol-1

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

machinelearning

Machine learning examples in Matlab/Octave

ml_course

Material para curso de aprendizaje automático / Machine learning course material

predictive-uncertainty-estimation-using-deep-ensemble

This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble

py

Repository to store sample python programs for python learning

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

quantum_bayesian_neural_networks

Noah's master thesis on Quantum Bayesian Neural Networks

reference_material

This repo contains guides and other reference material that may be useful when learning how to use a particular tool or programming language

stat_rethinking_2022

Statistical Rethinking course winter 2022

statrethink-course-numpyro-2019

Statistical Rethinking: A Bayesian Course Using Python and NumPyro

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

ugarit

A collection of primitive private (now made public) archives

xgboost_chem_ages

Spectroscopic ages for APOGEE DR17 stars