Name: Xiangming Meng
Type: User
Company: Zhejiang University
Bio: Assistant Professor at The Zhejiang University-University of Illinois Urbana-Champaign Institute (ZJUI), Zhejiang University
Location: Zhejiang, China
Blog: https://mengxiangming.github.io/
Xiangming Meng's Projects
http://nlp.seas.harvard.edu/2018/04/03/attention.html
demo of expectation propagation for a toy example
A collection of resources and papers on Diffusion Models
Reinforcement learning resources curated
Code for "Bilinear Adaptive Generalized Vector Approximate Message Passing", IEEE Access, 2018.
Code for BayesBiNN
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
Python code for bayesian optimization using Gaussian processes
Bayesian tensor network
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
Google AI 2018 BERT pytorch implementation
Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .
Restricted Boltzmann Machines in Julia
Simple HTML/CSS website template for a small academic/tech conference
Official repo for consistency models.
This repository has implementation and tutorial for Deep Belief Network
Deep Residual Learning for Image Recognition
Code and other material for the book "Deep Learning and the Game of Go"
Practical assignments of the Deep|Bayes summer school 2019
Dive into Deep Learning (动手学深度学习) with PyTorch.
dmps code
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
Evolution Strategies Tool
The fastai book, published as Jupyter Notebooks
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts