wp8733684
Follow
Stars
[KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification
proof of concept for a transformer-based time series prediction model
transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
A library of useful colormaps for the weather and climate community, with numerous color vision deficiency friendly options.
2020DCIC-智慧海洋建设算法赛方案分享，队伍名：抗毒救灾，成绩：初赛Rank7，复赛Rank12
本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55
We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain tur…
👁 2022年数字中国创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测第三名解决方案
Meteorological data from radar and satellite sources often contain noise due to air turbulence and device manipulation, leading to inaccuracies in predictions. Mitigating with ANN & LSTM
This LSTM network serves as a basis for a solar pv power output prediction paper i made back in april 2019.
光伏功率预测。通过LSTM模型对历史气象和电力数据进行分析，预测未来短时内的光伏功率输出。
Official PyTorch Code for ICLR24 Workshop Paper: PostRainBench
Official repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"