Minh Nguyen's Projects
Posterior sampling of initial conditions using score-based generative models
Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
pairwise kSZ calculator
A differentiable cosmology library in JAX
Lyman-alpha Cosmology Emulator. This code is a Gaussian process emulator for the 1D flux power spectrum of the Lyman-alpha forest, and was used to generate the results shown in https://arxiv.org/abs/2011.15127.
Examples of how to analyze output of the LEFTFIELD code using dask
Inference code for LLaMA models
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
A C++ library of Markov Chain Monte Carlo (MCMC) methods
This is the official MGCAMB repository. Scroll down for information about MGCAMB.
MCHMC: sampler from an arbitrary differentiable distribution
Personal homepage
a comprehensive list of published machine learning applications to cosmology
Python implementation of Moisan's periodic-plus-smooth decomposition of an image
Public repository for the Monte Python Code
"Cyberpunk style" for matplotlib plots
MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.
A unified pseudo-Cl framework
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
Analysis kit for large-scale structure datasets, the massively parallel way
Yet another toy N-body simulation of orbits in gravitational field
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
LaTeX style file to add a macro for inserting a linked ORCiD logo
Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"
Planck PR4 (NPIPE) lensing likelihood
Differentiable Cosmological Forward Model
Dffusion modeling for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)