Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

A GNN-RNN approach for harnessing geospatial and temporal information: application to crop yield prediction

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

Repository for a project that transforms PyTorch-based code and models into paddlepaddle-based code and models.

Synthetic Minority Over-Sampling Technique for Regression

📑 Online machine learning resources

A machine learning package for streaming data in Python. The other ancestor of River.

Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm

A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning

🌊 Online machine learning in Python

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification

This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

Experiments from our work Uncertainty Quantification and Deep Ensemble

Toy models, experiments and random notes on machine learning and deep learning.

Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method and the experiments found in the paper.

DeepSD Super-resolution for Climate Downscaling in KDD 2017

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Elsevier Information Fusion Journal submission

Github repository for the paperMulti-class imbalanced semi-supervised learning from streams through online ensembles

The stream-learn is an open-source Python library for difficult data stream analysis.