fangwq Goto Github PK

awesome-equivariant-network

Paper list for equivariant neural network

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

exercise

It’s for fun

g3py

g3py: Generalized Graphical Gaussian Processes

gpjax

A didactic Gaussian process package for researchers in Jax.

gpy

Gaussian processes framework in python

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

hubbard-lda3

Implementation of the local density approximation in the 3D Fermi-Hubbard model.

learngit

《Algorithms design techniques and analysis》——M.H.Alsuwaiyel

machine-learning

Machine learning class in Stanford University

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

quantum-machine-learning

quantum machine learning

research-progress

rmt4ml

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

sparse-implicit-processes

Development of IP code based on VIPs and AADM

symmetry-teleportation

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

traning-data-for-decision-making-research

Training data

vff

Variational Fourier Features