Merge pull request #123 from jeertmans/patch-1

Add DiffeRT and model (+paper) implemented

Author: n2cholas

readme.md

@@ -134,6 +134,7 @@ This section contains libraries that are well-made and useful, but have not nece
 - [tmmax](https://github.com/bahremsd/tmmax) - Vectorized calculation of optical properties in thin-film structures using JAX. Swiss Army knife tool for thin-film optics research <img src="https://img.shields.io/github/stars/bahremsd/tmmax" align="center">
 - [Coreax](https://github.com/gchq/coreax) - Algorithms for finding coresets to compress large datasets while retaining their statistical properties. <img src="https://img.shields.io/github/stars/gchq/coreax?style=social" align="center">
 - [NAVIX](https://github.com/epignatelli/navix) - A reimplementation of MiniGrid, a Reinforcement Learning environment, in JAX <img src="https://img.shields.io/github/stars/epignatelli/navix?style=social" align="center">
+- [DiffeRT](https://github.com/jeertmans/DiffeRT) - Differentiable Ray Tracing toolbox for Radio Propagation powered by the JAX ecosystem. <img src="https://img.shields.io/github/stars/jeertmans/DiffeRT?style=social" align="center">
 - [JAX-in-Cell](https://github.com/uwplasma/JAX-in-Cell) - Plasma physics simulations using a PIC (Particle-in-Cell) method to self-consistently solve for electron and ion dynamics in electromagnetic fields <img src="https://img.shields.io/github/stars/uwplasma/JAX-in-Cell?style=social" align="center">
 - [kvax](https://github.com/nebius/kvax) - A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism. <img src="https://img.shields.io/github/stars/nebius/kvax?style=social" align="center">
 
@@ -221,6 +222,10 @@ tracks of the [OGB Large-Scale Challenge](https://ogb.stanford.edu/kddcup2021/)
 - [lqg](https://github.com/RothkopfLab/lqg) - Official implementation of Bayesian inverse optimal control for linear-quadratic Gaussian problems from the paper [_Putting perception into action with inverse optimal control for continuous psychophysics_](https://elifesciences.org/articles/76635)
 
 
+### Equinox
+
+- [Sampling Path Candidates with Machine Learning](https://differt.eertmans.be/icmlcn2025/notebooks/sampling_paths.html) - Official tutorial and implementation from the paper [_Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing_](https://arxiv.org/abs/2410.23773).
+
 <a name="videos" />
 
 ## Videos