tlmakinen

21cm-unet

Repository for my senior thesis work with CCA Flatiron and Princeton University Astrophysics

alfi

ALFIL: Automatic Likelihood Free Inference (with IMNN)

cosmicGraphs

Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202

deep21

Deep network to separate astrophysical foregrounds from cosmological signal for upcoming 21 cm radio observations. Full paper on arXiv here: https://arxiv.org/abs/2010.15843

hybridStats

For demonstrating experiments for hybrid summary statistics

kosmo-kompress

Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters

powerbox-jax

Jax implementation of Steven Murray's powerbox: https://github.com/steven-murray/powerbox

pyskim

Repository for Bayesian sparse regression in Jax and NumPyro. Code adapted from https://arxiv.org/abs/1905.06501

sml_515

Repository for graduate course in statistics @Princeton University. Course website: https://princeton.instructure.com/courses/312

snapjax

a fast, flexible SuperNova Analysis Pipeline for Cosmology in Jax

tlmakinen/cosmicGraphs

Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202

tlmakinen/powerbox-jax

Jax implementation of Steven Murray's powerbox: https://github.com/steven-murray/powerbox

tlmakinen/snapjax

a fast, flexible SuperNova Analysis Pipeline for Cosmology in Jax

tlmakinen/hybridStats

For demonstrating experiments for hybrid summary statistics

tlmakinen/alfi

ALFIL: Automatic Likelihood Free Inference (with IMNN)

tlmakinen/alfi_lensing

networks for maximal information extraction from BORG weak lensing fields

tlmakinen/cosmicFields

clean version of kosmo-kompress

tlmakinen/deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

tlmakinen/degen_discovery

Consolidating the degeneracy discovery code into one repo. Starting with the toy model.

tlmakinen/epe_hybrid

Hybrid statistics with Expected Posterior Entropy minimisation.

tlmakinen/eqnn-jax

Annotated implementations of equivariant neural networks in Jax.

tlmakinen/fishnet-gnn

small repo to test fishnet aggregation for gnns

tlmakinen/fishnets_for_degenerates

for detecting degeneracy directions in cosmological (CMB) simulations.

tlmakinen/GAT-noise

tlmakinen/geniza_graph

For exploring translations as a function of senders and receivers in 1100s Cairo

tlmakinen/GNN_DomainAdapt

Inferring cosmology across datasets using Graph Neural Networks and Domain Adaptation

tlmakinen/go_figure

Repo for making nice clean paper plots. Lots borrowed from Nikhil Garg's latexify function

tlmakinen/graphNbody

small repo for correcting nbody particle fields with GNNs

tlmakinen/graphPNG

for detecting PNG with graph nets

tlmakinen/hugh

Applying deep21 foreground separation method to HIRAX data.

tlmakinen/hybridStatsWL

Repository for finding Hybrid neural statistics for Weak Lensing.

tlmakinen/learning-the-universe.github.io

tlmakinen/ltu-ili

A Python framework for robust, ML-enabled statistical inference in astronomical applications.

tlmakinen/myDelfi

small repo so I can do density estimation from neural summaries anywhere

tlmakinen/old-website

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

tlmakinen/pmwd-1

Differentiable Cosmological Forward Model

tlmakinen/sapphire_sbi

for sbi investigation of SAM galaxy formation models

tlmakinen/talks

Repository of public talks

tlmakinen/tlmakinen.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

tlmakinen/wl-sbi

another clean repo to consolidate this weak lensing sbi investigation