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Library for using the models trained in PhysicsNeMo in Engineering and CFD workflows
Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations
Create beautiful diagrams just by typing notation in plain text.
High-Performance Bounding Volume Hierarchy for Collision Detection and Ray Tracing in Dynamic Scenes
Track experiments, log metrics, manage models — MLflow from Julia.
A 15TB Collection of Physics Simulation Datasets
Easily and efficiently memoize any function, closure, or callable object in Julia.
Package to make C++ libraries available in Julia
A code analyzer for Julia. No need for additional type annotations.
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
Unofficial Julia bindings for logging experiments to wandb.ai
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
Set of variational autoencoder models to be used in the analysis of Galactic foregrounds to CMB experiments.
S2FFT: Differentiable and accelerated spherical transforms
Implementation of normalizing flows compatible with Bijectors.jl
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
Repository of best practices for deep learning in Julia, inspired by fastai
PySM 3: Sky emission simulations for Cosmic Microwave Background experiments
Converts a float or int into a latex-formatted string
A differentiable cosmology library in JAX
The automatically differentiable and GPU-compatible toolkit for CMB analysis.
A spherical convolutional neural network for cosmology (TFv1).