Pinned Loading

1. ad-kernels ad-kernels Public

   Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"

   Jupyter Notebook 12 1

2. DifferentiableDFTK DifferentiableDFTK Public

   Automatic differentiation for density functional theory in Julia.

   Julia 6

3. sdf_jax sdf_jax Public

   Utilities for neural signed distance fields in JAX.

   Jupyter Notebook 4

4. JuliaMolSim/DFTK.jl JuliaMolSim/DFTK.jl Public

   Density-functional toolkit

   Julia 418 85

5. visualizing jaxprs visualizing jaxprs

   1

   import jax

   2

   from jax import core

   3

   from graphviz import Digraph

   4

   import itertools

   5

6. Kernel regression in dex-lang Kernel regression in dex-lang

   1

   import plot

   2

   3

   -- Conjugate gradients solver

   4

   def solve (mat:m=>m=>Float) (b:m=>Float) : m=>Float =

   5

     x0 = for i:m. 0.0