t8115

t8115's Stars

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k324

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50k16.2k

• BICLab/Spike-Driven-Transformer

  Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

  Language:Python20815

• BICLab/Attention-SNN

  Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

  Language:Python558

• ZK-Zhou/spikformer

  ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

  Language:Python27443

• chengy6324/LSTM_LRP_factor

  使用LSTM及股票因子数据预测未来收益，使用LRP(layer-wise relevance propagation)增强网络可解释性

  Language:Python2915

• Cy743652/CEEMDAN-LSTM

  Language:Python4016

• Corezcy/EEMD-LSTM-DO-Prediction

  EEMD、LSTM、time series prediction、DO、Deep Learning

  Language:Python8122

• 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。

  16837

• MaybeWilliam/stock-price-prediction-BPNN-LSTM

  Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。

  16452

• wqk666999/CNN-LSTM-Attention

  使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.

  21942

• FateMurphy/CEEMDAN_LSTM

  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

  Language:Jupyter Notebook21742

• yangwohenmai/LSTM

  基于LSTM的时间序列预测研究

  Language:Python2.7k689

• SYLan2019/DSTAGNN

  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

  Language:Python13322

• Davidham3/ASTGCN-2019-mxnet

  ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

  Language:Python388240

• nnzhan/MTGNN

  Language:Python798222

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k394

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python983297

• stonetre/LPGNN

  Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph Structure Learning"

  Language:Python251

• TongjiFinLab/THGNN

  Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

  Language:Python5711

• GestaltCogTeam/STEP

  Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

  Language:Python32735

• cure-lab/SCINet

  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

  Language:Python624127

• microsoft/StemGNN

  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

  Language:Python500114

• deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

  Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

  Language:Jupyter Notebook396121

• hyliush/deep-time-series

  Deep learning PyTorch library for time series forecasting

  Language:Python11524

• ChangYungHua/Predicted-time-series-data

  TCN v.s RNN

  Language:Jupyter Notebook101

• abdulfatir/twitter-sentiment-analysis

  Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

  Language:Python1.5k599

• zshicode/Attention-CLX-stock-prediction

  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

  Language:Python26966

• PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

  Language:Python55893

• dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

  In PyTorch Learing Neural Networks Likes CNN、BiLSTM

  Language:Python1.2k341