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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

agama

Action-based galaxy modeling framework

apogee-maps

Code for Bovy et al. APOGEE MAPs papers

astrocv

Computer Vision library for Astronomy

astrofm

Chatbot to talk to astronomy papers.

astrohackweek2017

Materials for the 2017 Astro Hack Week

astronn

A python package to do neural network in astronomy with Tensorflow

aurigaia-examples

Example python scripts for working with AuriGaia mock catalogues

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian_cnn

Bayes by Backprop implemented in a CNN

bingo-public

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

constrained-r-cnn

A general image manipulation detection model.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

effectivetensorflow

TensorFlow tutorials and best practices.

galaxygan_python

This project is the implementation of "Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit" in python.

gce_errors

Source code used in our Galactic Center paper

gettingstarted

...with git and GitHub

google-research

Google AI Research

gp_showdown

A comparison of Gaussian process fitting packages in Python

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

hitchhikers-guide

The Hitchhiker's Guide to Data Science for Social Good

ideagpt

lasagne-for-regression

lsstc-dsfp-sessions

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

mendis

Deep Normalising Flows for stellar spectra. It's all about light.