Alternatives and similar repositories for TimeSeriesPatterns:

Users that are interested in TimeSeriesPatterns are comparing it to the libraries listed below

• niharikabalachandra / Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends-
  Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…
  ☆21Updated 7 years ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆39Updated 7 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• HenrySun95 / PHBS_TQFML-StockIndex-Wavelet-Transformation-ARIMA-ML-Model
  PHBS 2018 Machine Learning Class Project
  ☆14Updated 6 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆32Updated 4 years ago
• omerbsezer / TimeSeries2DBarChartImageCNN
  Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
  ☆40Updated 2 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆15Updated 7 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆91Updated 3 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆35Updated 5 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆16Updated 6 years ago
• goodday451999 / Stock-Price-Prediction
  Stock Price Prediction of any Organizations using SVR
  ☆18Updated 5 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆99Updated 4 years ago
• 0zean / MARS-Time-Series
  Multivariate Adaptive Regression Splines for Time Series Prediction
  ☆18Updated last year
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆65Updated 6 years ago
• 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
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆27Updated 5 years ago
• samluxenberg1 / Time-Series-Forecasting-with-Wavelets
  ☆47Updated 7 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 5 years ago
• salmansust / TimeSeries-LSTM
  In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.
  ☆11Updated 5 years ago
• KidQuant / Forecasting-VAR-Granger-Causality
  ☆12Updated 5 years ago
• bgithub1 / da_rnn
  RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆19Updated 8 months ago
• WWH98932 / Multivariate-Financial-Time-Series-Analysis
  UCLA Master of Applied Economics Capstone Research
  ☆11Updated 6 years ago
• tqa236 / LSTM_algo_trading
  Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
  ☆19Updated 4 years ago
• BirdiD / Stock-trends-prediction-with-macroeconomic-indicators
  Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…
  ☆21Updated 3 years ago
• mustafaseisa / regimechange
  Non-parametric method for estimating regime change in bivariate time series setting.
  ☆13Updated 7 years ago
• SimonWesterlindVPD / AnomalyDetectionOnRisk
  Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.
  ☆20Updated 6 years ago
• TejVed / Hybrid-LSTM-GARCHE-model-for-NASDAQ-Stock-Prediction-Forecasting
  To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application…
  ☆11Updated 2 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆20Updated 3 years ago