Xiangming Meng's repositories
approximate-inference
demo of expectation propagation for a toy example
mengxiangming.github.io
my personal website
hopfield-layers
Hopfield Networks is All You Need
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
conference-website-template
Simple HTML/CSS website template for a small academic/tech conference
consistency_models
Official repo for consistency models.
dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
ElasticGNN
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
GNNPapers
Must-read papers on graph neural networks (GNN)
GraphicalModelLearning.jl
Algorithms for Learning Graphical Models
GraphLearn
Code to reproduce results in our paper "Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models".
Laplace
Laplace approximations for Deep Learning.
learning-ising-dynamics
Interaction Screening and Pseudolikelihood based algorithms for learning dynamics of Ising model
ML-from-scratch-seminar
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Restricted-Boltzmann-Machines
Implementation of restricted Boltzmann machines in Tensorflow 2
swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.