ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

[CVPR 2022] POCO: Point Convolution for Surface Reconstruction

A game theoretic approach to explain the output of any machine learning model.

Perform data science on data that remains in someone else's server

An Open Framework for Federated Learning.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

mathLab mirror of Python Dynamic Mode Decomposition

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model

Graph Neural Network Library for PyTorch

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

深度学习经典、新论文逐段精读

PinnDE: A Python library for solving differential equations with physics informed neural networks and deep operator networks

An Intuitive Tutorial to Gaussian Processes Regression

Accompanying code for the paper "Benefits of Monotonicity in Safe Exploration with Gaussian Processes" (UAI 2023)

Stan simulations of monotonic and unimodal gaussian processes.

Gaussian Processes with Monotonicity Constraints for Preference Learning from Pairwise Comparisons

This is the repository of code for the manuscript of "Machine learning approaches for fracture risk assessment: a comparative analysis of genomic and phenotypic data in 5,130 older men".

A web application deployed on Azure to calculate fracture risks of postmenopausal women using advanced machine learning techniques

The source code of the paper "Fracture Risk Prediction with Traditional and Machine Learning Models: A Nationwide, Prospective Cohort Study in Switzerland with Validation Using the UK Biobank"

Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

Next generation FEniCS problem solving environment

Muzic: Music Understanding and Generation with Artificial Intelligence

PyTorch implementation of bayesian neural network [torchbnn]

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

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.