Progressive multi-fidelity learning for physical system predictions

Research skills for Claude Code: autonomous iteration, bibliography management, data visualization, scientific coding, image generation, TTS, and flashcards.

CosmoStat's SEear INference Environment

JAX implementation and extension of the healpy library

Ray tracing library in JAX

Curved-sky iterative CMB lensing tools

VAE-Deblender for Galaxy images

Framework for Unified and Robust data Analysis with JAX

Statistical Rethinking: A Bayesian Course Using Python and NumPyro

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Differentiable Cosmological Forward Model

Official repository for "Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions" (NeurIPS2024 - Machine Learning and the Physical …

CUDA-based implementation for linear 1D, 2D and 3D FFT-Shift functions.

Lectures on Quantitative Economics Using JAX

Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3 on the CPU or GPU

A high-order finite-difference code for compressible hydrodynamic flows with magnetic fields and particles

Flax is a neural network library for JAX that is designed for flexibility.

S2FFT: Differentiable and accelerated spherical transforms

Pixel implementation for the non-parametric component separation

Python healpix maps tools

Experimental pipeline prototype software

An efficient C++20 GPU numerical computing library with Python-like syntax

CUDA Matrix Multiplication Optimization

CUDA Templates and Python DSLs for High-Performance Linear Algebra

Differentiable signal processing on the sphere for PyTorch

A better visualization of clang's -ftime-trace output