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alchemy

awesome-neural-ode

A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks

backwardslinalg.jl

Auto differentiation over linear algebras (a Zygote extension)

conda-settings

constrainedparameter.jl

core-datasets

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)

gpflux.jl

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

graphlib

library for state-of-the-art graph neural networks

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.

machine_learning_kinetic_energy

construct machine learned kinetic energy functional in quantum mechanics

minimal-mistakes

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

mljmultivariatestatsinterface.jl

model_zoo

model zoo for fancy Gaussian process method

mypaddlequantum

mytensornetwork

ofdft-ml

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pwdft

pwdft.jl

Plane wave density functional theory using Julia programming language

pwsolver

Plane wave schrodinger equation solver

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)