Alternatives and similar repositories for CNN-BiLSTM-network

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

• zachysun / Traffic_Prediction_Modules
  Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)
  ☆11Updated last year
• HKAB / ML-Project-Traffic-Flow-Forecasting
  ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour
  ☆22Updated 3 years ago
• elifyilmaz2027 / traffic_flow_forecasting_methods
  The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
  ☆13Updated 2 years ago
• suprobe / AT-Conv-LSTM
  A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
  ☆110Updated 4 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆42Updated 2 years ago
• vighnesh-21 / Traffic-Forecasting-using-Graph-Convolution-LSTM-model
  Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…
  ☆26Updated 4 years ago
• HduDBSI / DSTGCN
  Dynamic Attention And Trajectory Cognition Based Graph Convolution Network For Traffic Flow Forecasting
  ☆15Updated 3 years ago
• SummerMangocc / multi-energy-load-forecasting
  A multi-task learning method for multi-energy load forecasting based on synthesis correlation analysis and load participation factor
  ☆13Updated 2 years ago
• bobbychovip / TrafficFlowPrediction
  LCTFP: A freeway traffic flow prediction model based on CNN and LSTM
  ☆101Updated 6 years ago
• XingshuaiHuang / MetaProbformer
  MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations [T-ITS, 2023]
  ☆27Updated 2 years ago
• Suzzanemansi / EMD-LSTM-MLP
  To increase the prediction accuracy by using EMD with LSTM an MLP networks.
  ☆13Updated 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.
  ☆55Updated 2 years ago
• samyeh0527 / CNN_BiLSTM_withAttention
  ☆17Updated 3 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 5 years ago
• aquafina2332 / EMD-Transformer-BiLSTM
  Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM
  ☆42Updated last year
• zouguojian / Traffic-flow-prediction
  This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
  ☆29Updated 7 months ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆97Updated 5 years ago
• JinleiZhangBJTU / ResNet-LSTM-GCN
  Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
  ☆204Updated 5 years ago
• 815382636 / GCN-tffc
  比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
  ☆139Updated 4 years ago
• CHDers / GCN-Time-Series-Prediction-Based-on-Taxi-Trajectory-Data-in-Shenzhen-City
  使用深圳市的出租车轨迹数据实现GCN时间序列预测
  ☆10Updated 2 years ago
• qcl-0218 / Physics-informed-Transformer-IDM
  The implementation of the paper "A Physics-Informed Transformer Model for Vehicle Trajectory Prediction on Highways". The paper is now un…
  ☆16Updated 3 years ago
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆25Updated 4 years ago
• Raindrops69Whee / AIS-Vessel-Trajectory-Prediction
  ☆13Updated 2 years ago
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆29Updated 11 months ago
• fbohu / Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand
  ☆44Updated 4 years ago
• georgezefko / Anomaly-Detection-for-Sequential-Data
  Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data
  ☆24Updated 3 years ago
• yiminghzc / MDST-GNN
  a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …
  ☆32Updated 3 years ago
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆63Updated 2 years ago
• An-Yuhang-ace / VesselTrajectoryPrediction
  lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
  ☆115Updated 4 years ago
• chyaou / VMD-CNN-LSTM-AM-wind-power-forecast
  ☆39Updated 2 years ago