Variational autoencoder for seminar distributed computing course's project.

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Machine learning datasets used in tutorials on MachineLearningMastery.com

Time Series embedding using LSTM Autoencoders with PyTorch in Python

Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Time series analysis using LSTM (Bi directional model) and SARIMA model

Time series forecasting with machine learning models

A python library to build Model Trees with Linear Models at the leaves.

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Privacy Preserving Vertical Federated Learning

Federated Multi-Task Learning

Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)

An Industrial Grade Federated Learning Framework