pingzaiwang

Theory-of-overparametrization

Code and raw data for "Theory of overparametrization in quantum neural networks"

siginversion

TransFusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

nbm-spam

Training and evaluating NBM and SPAM for interpretable machine learning.

Adversarial-Robustness-in-Unsupervied-Machine-Learning-A-Systematic-Review

Repository for accessing all relevant work documents for reproducibility and transparency

MMCL

Experiments in the paper "Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data"

qml_thesis

Source codes and extra material from masters thesis

graphQNTK

Quantum_Neural_Network_Classifiers

Codes for efficiently implementing quantum neural network classifiers

RT-GCN

DeepQuantumNeuralNetworks

deltaNN

Discontinuous Neural Networks

mprod_package

Software implementation for tensor-tensor m-product

Generalization-Error-and-Lipschitz-Constant-Bounds-for-Polynomial-Nets

meta

Trace norm regularization for multi-task learning with scarce data

learning_with_signatures

Learning with Signatures

T2NN-demo

A demo of the source code for paper "A Hybrid Norm for Guaranteed Tensor Recovery" by Yihao Luo, Andong Wang , Guoxu Zhou and Qibin Zhao published in Frontiers in Physics

refine

Code for the paper "Resource Efficient Invariant Networks: Exponential Gains by Unrolled Optimization"

tednet

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

awesome-graph-explainability-papers

Papers about explainability of GNNs

path_signatures_introduction

A Brief Introduction to Path Signatures for Machine Learning Practitioners

TM-GCN

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

quantumbias

UAV-Digital-Twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

GP4A

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

kSupportNorm4Tensor

the-signature-method-in-machine-learning

Foundations and Applications

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

Tensor-Network-B-splines

Tensor Network B-splines and its application in nonlinear system identification