EliseJ

astroABC

Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

superabc

superABC: cosmological constraints from SN light curves using Approximate Bayesian Computation

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

AIX360

Interpretability and explainability of data and machine learning models

AstroHackWeek2015

Materials for the 2015 Astro Hack Week

benchmarks

Benchmark code

carl

Likelihood-free inference toolbox.

encryptor

kay_singularity_images

pointnet_toy

A Toy PointNet model for profiling architectures.

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

pyspark-explorations

Explorations with PySpark on the Cooley Cluster

singularity_image_recipes

Singularity Image Recipes for connecting to Singularity Hub

Trial