Alternatives and similar repositories for CNN-LSTM_gold_price

Users that are interested in CNN-LSTM_gold_price are comparing it to the libraries listed below

• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆72Updated last year
• Masterleia / TSF_LSTF_Compare
  Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…
  ☆118Updated 2 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆266Updated 4 months ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆96Updated 2 years ago
• NoahYL / JD20210916
  CEEMDAN+SampleEntropy+LSTM+RF
  ☆15Updated 3 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆176Updated 8 months 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…
  ☆49Updated 3 years ago
• Rssevenyu / pytorch-time_series_data-prediction-with-gru-and-lstm
  (pytorch)time_series_data-prediction-with-gru-and-lstm
  ☆47Updated 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
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆112Updated 5 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆91Updated 4 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 4 years ago
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆67Updated last year
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 3 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 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）
  ☆63Updated 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)
  ☆58Updated 4 years ago
• aquafina2332 / EMD-Transformer-BiLSTM
  Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM
  ☆36Updated last year
• rosehe1029 / MTSFtransformer
  多变量时序预测transformer
  ☆16Updated 2 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆131Updated 3 years ago
• irenekarijadi / CEEMDAN-EWT-LSTM
  Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
  ☆64Updated last year
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆79Updated last year
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆11Updated 2 years ago
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• irenekarijadi / RF-LSTM-CEEMDAN
  Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method
  ☆32Updated 3 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• 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
• pengxiang1998 / DeepLearning
  CNN+LSTM+Attention实现时间序列预测
  ☆57Updated last year