Siddharth Mishra-Sharma (@smsharma)
github

smsharma

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Top repositories

1

awesome-neural-sbi

Community-sourced list of papers and resources on neural simulation-based inference.
74
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2

AIrXiv

AI-powered arXiv research assistant prototype.
Python
72
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3

minified-generative-models

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Jupyter Notebook
47
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4

sbi-lecture-mit

Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
Jupyter Notebook
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5

mining-for-substructure-lens

Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.
Jupyter Notebook
31
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6

point-cloud-galaxy-diffusion

Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
Jupyter Notebook
18
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7

eqnn-jax

Annotated implementations of equivariant graph neural networks in Jax: EGNN, SEGNN, NequIP.
Jupyter Notebook
17
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8

consistency-models

Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
Jupyter Notebook
16
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9

hierarchical-inference

Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
Jupyter Notebook
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10

lensing-neural-fields

Implicit neural representations for strong lensing source reconstruction. Code repository associated with https://arxiv.org/abs/2206.14820.
TeX
10
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11

PAPERCLIP-Hubble

Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).
Jupyter Notebook
9
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12

jax-conditional-flows

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
Jupyter Notebook
9
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13

GPSphere

Basic Gaussian processes on a sphere. Written at the Gaia Sprint 2019 (KITP).
Jupyter Notebook
6
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14

phd-thesis

Princeton Ph.D. dissertation, defended August 2018.
TeX
6
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15

fermi-gce-flows

Simulation-based inference for the Galactic Center gamma-ray excess. Code repository associated with https://arxiv.org/abs/2110.06931.
Jupyter Notebook
6
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16

deep-prob-prog-tutorials

Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.
Jupyter Notebook
6
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17

gamma-gp

Proof-of-principle application of Gaussian process modeling to gamma-ray analyses. Code repository associated with the paper https://arxiv.org/abs/2010.10450.
Jupyter Notebook
6
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18

eft-hod

Simulation-based priors connecting EFT of large-scale structure and halo occupation distribution (HOD) models.
Jupyter Notebook
5
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19

ChatJesseT

A cybernetic physicist sent back in time to fuse techniques from quantum field theory and machine learning. April Fools' 2023.
Jupyter Notebook
4
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20

neural-global-astrometry

Neural likelihood-ratio estimation for global astrometric lensing. Code repository associated with https://arxiv.org/abs/2110.01620.
Jupyter Notebook
4
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21

iaifi-hackathon-2024

Starter notebooks for self-supervised/multimodal machine learning and neural simulation-based inference, for the 2024 IAIFI Astro Hackathon.
Jupyter Notebook
4
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22

semi-visible-jets

Models and event generation for semi-visible jets. Code repository associated with the paper https://arxiv.org/abs/1707.05326.
Python
3
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23

dark-photons-perturbations

Dark photon conversions in our inhomogeneous Universe. Code repository associated with the papers https://arxiv.org/abs/2002.05165 and https://arxiv.org/abs/2004.06733.
Jupyter Notebook
3
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24

edges-endpoints-21cm

Studying the effects of resonant photon injection in 21-cm observations. Code repository associated with the paper https://arxiv.org/abs/2009.03899.
Jupyter Notebook
3
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25

jet-setting

Set-based generative modeling of particle jets using continuous normalizing flows.
Jupyter Notebook
2
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26

prob-prog-8.S50-tutorial

A tutorial introducing probabilistic programming with Pyro for the MIT IAP Course 8.S50: Computational Data Science in Physics
Jupyter Notebook
2
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27

smsharma

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28

generative-spectra-lightcurves

p(spectra|light curves)
Jupyter Notebook
2
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29

smsharma.github.io

Source for my personal Jekyll-powered website, www.smsharma.io.
JavaScript
1
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30

neural-conservation-laws

Some quick checks from the paper Neural Conservation Laws: A Divergence-Free Perspective (NeurIPS 2022).
Jupyter Notebook
1
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31

astrometry-lensing-correlations

Angular power spectra for astrometric weak lensing. Code repository associated with the paper https://arxiv.org/abs/2003.02264.
Jupyter Notebook
1
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