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arxivscraper

A python module to scrape arxiv.org for specific date range and categories

autograd

Efficiently computes derivatives of numpy code.

bestpractices

Best Practices for using ML in Science

bispectrumbias

code to compute bispectra and bispectra induced CMB lensing biases

deepuq

Bayesian Uncertainty Quantification with Deep Generative Models

denopa

denoising and inpainting with generative models

flatironmeeting

Meeting repo for likelihood free inference meeting

gbs_samples

Generating the samples for the examples in the GBS paper.

gis

Biweis GIS code adapted

jobsearchscripts

kernel_regression

Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.

lensing-corrections

computing lensing corrections on galaxy-lensing cross correlations and galaxy-galaxy auto correlations

lfi-ressources

a compilation of ressources for likelihood free inference (LFI undergrad project)

lsstc-dsfp-sessions

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

madlens

a differentiable lensing simulator

massrecon

lensing reconstruction

mcevidence

A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)

mediumarticles

ml-tutorials

Machine Learning Tutorials

ml_lectures

mnulfi

throwing LFI on massiveNus sims

n3as_project_malika

neutrino dataset classification

n3asproject_annie

Hardening parameter inference from gravitational lensing against baryonic physics

normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

normalizingflows

using normalizing flows for data compression

nuts

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

optuna-examples

Examples for https://github.com/optuna/optuna

optunatutorial

Hyperparameter Optimization Tutorial

pae

Probabilistic Auto-Encoder

pae-ablation

ablation studies between PAE and flow-VAE