Alternatives and similar repositories for LSTM-Time-Series-Analysis

Users that are interested in LSTM-Time-Series-Analysis are comparing it to the libraries listed below

• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆29Updated 8 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆33Updated 8 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆143Updated 6 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 7 years ago
• huseinzol05 / Machine-Learning-Numpy
  Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…
  ☆112Updated 6 years ago
• fatma-kursun / time-series-forecasting
  ☆22Updated 7 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• chuanyun / Deep-Learning-in-Time-Series
  Deep learning in time series analysis
  ☆13Updated 7 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.
  ☆101Updated 5 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• gcarq / keras-timeseries-prediction
  Time series prediction with Sequential Model and LSTM units
  ☆118Updated 8 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆107Updated 5 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 8 years ago
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆72Updated 5 years ago
• jiegzhan / time-series-forecasting-rnn-tensorflow
  Time series forecasting
  ☆79Updated 6 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 8 years ago
• patternedscience / time-series-tf-serving
  Seq2seq Model on Time-series Data: Training and Serving with TensorFlow
  ☆20Updated 6 years ago
• xrndai / DeepDayTrade
  Stock Price Predictor
  ☆31Updated 6 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆64Updated 5 years ago
• ashishpatel26 / NYSE-STOCK_MARKET-ANALYSIS-USING-LSTM
  Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…
  ☆24Updated 7 years ago
• yashbonde / Reinforcement-Learning-Stocks
  Applying Reinforcement learning models for stock price predictions
  ☆25Updated 7 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 8 years ago
• neoyipeng2018 / cnn
  Using fastai and CNNs to predict stock prices
  ☆25Updated 6 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆62Updated 7 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 6 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆103Updated 6 years ago
• maobubu / stock-prediction
  Stock prediction with Natural Language Processing
  ☆36Updated 6 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago