Alternatives and similar repositories for Foreign-exchange-rates-forecasting

Users that are interested in Foreign-exchange-rates-forecasting are comparing it to the libraries listed below

• Suzzanemansi / EMD-LSTM-MLP
  To increase the prediction accuracy by using EMD with LSTM an MLP networks.
  ☆13Updated 4 years ago
• balandhanka / Windspeed-Forecasting-LSTM-GRU
  Time series Forecasting of Wind speed based on different deep learning methods LSTM - GRU
  ☆18Updated 4 years ago
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆24Updated 3 years ago
• zhz17 / pytorch_pso_lstm_timeseries
  ☆16Updated 2 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• abdalbassir / LSTM_EMD_PCA_EURUSD
  Assessing the Effectiveness of LSTM model with EMD Denoising and PCA for EUR/USD currency
  ☆16Updated 5 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆26Updated 7 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• lu-zhao / EMD_LSTM
  ☆32Updated 5 years ago
• irenekarijadi / RF-LSTM-CEEMDAN
  Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method
  ☆32Updated 3 years ago
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆17Updated 6 years ago
• joongminpark / Forecasting-TCN
  TCN(Temporal Convolutional Network) model for load forecasting with serial data.
  ☆12Updated 4 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆13Updated last year
• afshinfaramarzi / Energy-Demand-electricity-price-Forecasting
  Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…
  ☆43Updated 2 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆90Updated 2 years ago
• takumiw / Time-Series-Demand-Forecasting
  Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
  ☆30Updated 4 years ago
• rodgdutra / CNN-LSTM_gold_price
  Python implementation of the paper "A CNN–LSTM model for gold price time-series forecasting". Published in Neural Computing and Applicati…
  ☆17Updated 3 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…
  ☆47Updated 2 years ago
• Jingyu-DS / Stock_Index_Prediction_EMD_LSTM
  ☆10Updated 3 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆56Updated 5 years ago
• oubahe / GSA-PSO-SVR
  一种有效的电力负荷预测方法
  ☆61Updated 5 years ago
• JeCase / LoadElectricity_Forecasting_CNN-BiLSTM-Attention
  Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
  ☆44Updated 2 years ago
• Knight0111 / SSA-LSTM
  ☆26Updated 2 years ago
• yunfei1218 / LSTM-Attention
  使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…
  ☆18Updated 4 years ago
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆24Updated 5 months ago
• UAEUniversity / CIT_LSTM_TimeSeries
  LSTM Model for Electric Load Forecasting
  ☆47Updated 7 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆49Updated 5 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆33Updated 2 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆20Updated 5 years ago
• kushwahavishal646 / Load-Forecasting-using-Different-Deep-Learning-Architectures
  this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…
  ☆26Updated 4 years ago