HamletWantToCode

ofdft-ml

GPFlux.jl

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

PWDFT

TorchGP

BackwardsLinalg.jl

Auto differentiation over linear algebras (a Zygote extension)

conda-settings

ConstrainedParameter.jl

DFTK.jl

Density-functional toolkit

DiffGPFlux.jl

Gauss process integrated with forward automatic differentiation

dqc

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory at the moment)

Flatten.jl

Flatten nested Julia objects to tuples, and reconstruct them later

Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

Generative

collection of generative models ( continue expanding ...... )

GNNPapers

Must-read papers on graph neural networks (GNN)

HamletWantToCode.github.io

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

just-the-docs

A modern, high customizable, responsive Jekyll theme for documention with built-in search.

MLJMultivariateStatsInterface.jl

model_zoo

model zoo for fancy Gaussian process method

myPaddleQuantum

myTensorNetwork

PWDFT.jl

Plane wave density functional theory using Julia programming language

Resume

settings

my dot file

Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

TightBinding.jl

This can construct the tight-binding model and calculate energies

Tracker.jl

Flux's ex AD

xitorch

Zygote.jl

Intimate Affection Auditor