Alternatives and similar repositories for TimeSeriesResearch:

Users that are interested in TimeSeriesResearch are comparing it to the libraries listed below

• liangyimingcom / Use-SageMaker_XGBoost-convert-Time-Series-into-Supervised-Learning-for-predictive-maintenance
  使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践
  ☆78Updated 3 years ago
• Hank0626 / PDF
  Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
  ☆124Updated 10 months ago
• Hank0626 / WFTNet
  Official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)
  ☆42Updated last year
• Master-PLC / FreDF
  Repository for "FreDF: Learning to Forecast in the Transformed Domain"
  ☆185Updated 2 weeks ago
• Hank0626 / TimeBridge
  Official implementation of "TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting"
  ☆71Updated last week
• taogeanton3 / Informer-1
  PyTorch实现的Informer (Informer:用于长序列时间序列预测
  ☆25Updated 2 years ago
• Heitao5200 / LSTM-for-Time-Series-Forecasting-Pytorch
  使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)
  ☆56Updated 4 years ago
• lwb-xmu / Multivariate-multi-step-time-series-forecasting-via-LSTM
  多元多步时间序列的LSTM模型预测——基于Keras
  ☆80Updated 3 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆86Updated 3 years ago
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆23Updated 3 years ago
• sanshuishou / -VMD-Attention-LSTM-
  基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更大的数据集训练）
  ☆57Updated 2 years ago
• Hank0626 / CALF
  Official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning" (AAAI 2025)
  ☆107Updated last month
• momodagithub / regression-prediction-algorithms
  使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…
  ☆46Updated 4 years ago
• pengchen233 / EEMD-LSTM-Model
  基于深度学习的溶解氧时间序列预测模型
  ☆28Updated 5 years ago
• litaolemo / Research
  使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测
  ☆16Updated last year
• Masterleia / TSF_LSTF_Compare
  Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…
  ☆114Updated 2 years ago
• aquafina2332 / EMD-Transformer-BiLSTM
  Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM
  ☆31Updated last year
• XingyuJinTI / sequential_model_pytorch_rnn_1dcnn
  Sequential data using RNN (LSTM, GRU, etc) CNN and RCNN. Adaptable to variable length input sequence.
  ☆58Updated 2 years ago
• GivyBoy / CEEMDAN-and-LSTM-CNN-CBAM
  This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…
  ☆48Updated 2 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆25Updated 6 years ago
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆26Updated 3 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆108Updated 5 years ago
• yhaofeng / finance_transformer
  通过修改transformer使其可以预测金融时间序列
  ☆33Updated 4 years ago
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆13Updated 3 years ago
• RuifMaxx / Multidimensional-time-series-with-transformer
  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
  ☆234Updated last year
• chyaou / VMD-CNN-LSTM-AM-wind-power-forecast
  ☆34Updated 2 years ago
• HiddenSharp / LSTM-SVM-RF-time-series
  Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。
  ☆190Updated 4 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆88Updated 2 years ago
• yuchengle / Arima
  利用时间序列预测汽车销量
  ☆39Updated 6 years ago
• EDAPINENUT / CLCRN
  This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022
  ☆127Updated 3 years ago