Alternatives and similar repositories for Soybean-Price-Prediction-Winning-solution-MinneAnalytics-Data-Science-Challenge

Users that are interested in Soybean-Price-Prediction-Winning-solution-MinneAnalytics-Data-Science-Challenge are comparing it to the libraries listed below

• z1103246 / LSTM-CNN-Stock-Prediction
  An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320
  ☆20Updated 3 years ago
• SnehJain / Deep-Neural-Networks-For-Stock-Price-Prediction
  Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
  ☆62Updated 7 years ago
• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆86Updated 5 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆40Updated 8 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 4 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 5 years ago
• Jingyu-DS / Stock_Index_Prediction_EMD_LSTM
  ☆10Updated 3 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆77Updated 5 years ago
• vietsDeng / Stock-Prediction
  stock predict by cnn and lstm
  ☆39Updated 7 years ago
• goodday451999 / Stock-Price-Prediction
  Stock Price Prediction of any Organizations using SVR
  ☆18Updated 5 years ago
• mansipatel2508 / Stock-Price-Prediction-Time-Series-with-NN
  Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …
  ☆10Updated 6 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆145Updated last year
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆81Updated 3 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆22Updated 4 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆120Updated 6 years ago
• a-bean-sprout / XGBoost_StockPricePredict
  Attempt to use XGBoost in stock price prediction
  ☆89Updated 5 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 5 years ago
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆115Updated 5 years ago
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆61Updated last year
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• Cy743652 / CEEMDAN-LSTM
  ☆38Updated 4 years ago
• cxdsz / stock-price-prediction-algorithms
  使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…
  ☆53Updated 5 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
  ☆82Updated 3 years ago
• luanft / lstm-cnn-model
  A LSTM CNN stock price prediction model(SP500 market)
  ☆10Updated 4 years ago
• 102757017 / lstm-multi
  多因子lstm预测
  ☆14Updated 3 years ago
• shrey920 / MultivariateTimeSeriesForecasting
  This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…
  ☆17Updated 6 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆23Updated 5 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆31Updated 5 years ago
• Ru-Yan / Sharpe-LSTM-Investment-Model
  The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-…
  ☆20Updated 3 years ago