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MOMENT: A Family of Open Time-series Foundation Models, ICML'24

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

Implementation of Nyström Self-attention, from the paper Nyströmformer

LibCity: An Open Library for Urban Spatial-temporal Data Mining

My personal PyTorch framework for multivariate time series forecasting.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

A playbook for systematically maximizing the performance of deep learning models.

Google AI 2018 BERT pytorch implementation

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

Overview of Federal Learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

Adaptive Graph Convolutional Recurrent Network

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)