Starred repositories
[ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
[NeurIPS 2023]DELTA: Diverse Client Sampling for Fasting Federated Learning
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
A long term short term memory recurrent neural network to predict forex data time series
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Multivariate Time Series Forecasting with Graph Neural Networks
Financial time series forecasting with multi-modality graph neural network
Using Spectral Temporal Graph Neural Network model for the major assignment of Time Series Analysis and Forecasting course, with multivariate air component time series data of 3414 rows x 17 columns.
a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing shortcomings and improve the accuracy of periodic data predi…
Multi-view Graph Structure Representation for Multivariate Long-term Time Series Forecasting
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
李宏毅2021/2022/2023春季机器学习课程课件及作业