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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

a-no-go-guide-for-the-hubble-tension

The code for https://arxiv.org/abs/2107.13286

a100hrdiagrams

Creating an HR Diagram for M67

aas229_workshop

Using Python for Astronomical Data Analysis in the Era of JWST (Winter AAS 2017)

age-of-the-universe

Estimating the age of the Universe

asteroseismology-unibo

astro425-final-project

The final project for Astro425 Cosmology class. It is a gravitational lens simulator.

astro_rcnn

Astro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning

astroml-notebooks

astroML notebooks. They are rendered at http://www.astroml.org/astroML-notebooks

astroml-workshop_aas235

Workshop material for the AAS235 meeting

awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

boltzmann-equation-for-a-simple-freeze-out-model

A simple program integrating Boltzmann Equation for a freeze-out model where we consider only self-annihilation for dark matter. We integrate only in the non-relativistic period. For integration, we use both odeint and a self-made function using Euler's Method for explicit numerical integration.

classifying_cosmological_data

Finalised code for Year 3 Physics Project B - Classifying Cosmological Data with Machine Learning

cls

This is a python cod to calcule el PS del cmb using a map with mask with healpy

cmbanalysis_summerschool

computational_software

cosmology-2022--project1

In this project, we explore the evolution of a homogeneous and isotropic Universe, in the standard cosmological model, Λ-CDM, also known as the Benchmark model. We compute observable quantities in order to compare with observations, using cosmological parameters given by the Planck experiment, constants and graph references from the Barbara Ryden’s book, and data from supernova datasets. We present here the approximate results and those that did not fit the known model (many errors arose in the process and all of them are presented as part of the project).

cosmology-class

some notebooks for cosmology tutorial classes

cosmology_class_power_spectrum

Power spectrum analysis on the LCMD cosmology, using CLASS

cosmomc_sdss2020

cost-avanced-school-on-the-physics-of-dark-matter

The nature of Dark Matter phenomenon remains one of the biggest unsolved problem of contemporary fundamental physics. Since early astrophysical observations of gravitational effects of Dark Matter, many theoretical approaches that would elaborate on its possible origins, properties, cosmological evolution and astrophysical implications have been de

course22

The fast.ai course notebooks

dataanalysispythoncourse

Data Analysis and Image Processing Python Course

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep_learning_curriculum

Language model alignment-focused deep learning curriculum

deeplearning-models

A collection of various deep learning architectures, models, and tips

dekhta-haaa

des-dataqualityplots

Visualizations of the data quality from the Dark Energy Survey - Supernova Program (DES-SN)

dhruv-kumar