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actions-sandbox

ae_ts

Auto encoder for time series

agnostic

Kernel-less, flexible models of AGN variability

aracle

Predictive model of solar magnetic flux emergence using deep learning

atmospheric-psf

Comparison of the Kolmogorov-von Karman model of atmospheric turbulence with numerical simulations using phase screens

au-naturel

baobab

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

breakfastclub

SLAC HXML Reading Group

capsnet-tensorflow

Performing five-particle classification on simulation data using the Tensorflow implementation of CapsNet (Capsule Network)

cesium

Machine Learning Time-Series Platform

copulas

A library to model multivariate data using copulas.

corner.py

Make some beautiful corner plots

cosmology-unfiled

Miscellaneous papers on cosmology

cs235-biomedical-informatics

cs269q-quantum-computer-programming

damped-random-walk

Quasar variability modeled as a damped random walk process

data-parlor

Collection of various plots and plotting tools

dc2-analysis

General analysis tools for the DC2 Data Set.

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-learning-notebooks

Tutorials in various concepts related to deep learning

deep-meta-learning

Literature review of deep meta learning and deep multi-task learning, some fun toy implementations, and my work for Stanford's CS 330 (Deep Multi-task and Meta Learning)

deeplenstronomy

A pipeline for versatile strong lens sample simulations

deepqso-note

density_network

Density Network Implementations using TensorFlow

descqa

A validation framework and tests for mock galaxy catalogs and beyond

differentiable-bayesian-copula-fitting

Differentiable Bayesian copula fitting

differentiable-h0rton

embeddedlmc

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-forward

The stochastic forward problem using Bayesian neural networks