Alternatives and similar repositories for Deep-Learning-in-Time-Series

Users that are interested in Deep-Learning-in-Time-Series are comparing it to the libraries listed below

• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 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
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 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…
  ☆34Updated 8 years ago
• chirag1992m / Algorithmic-Trading-Challenge---Kaggle
  Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…
  ☆27Updated 3 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.
  ☆100Updated 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)
  ☆42Updated 2 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 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…
  ☆108Updated 6 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 6 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆65Updated 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
• bukosabino / financial-forecasting-challenge-gresearch
  My approaches to Financial Forecasting Challenge by G-Research
  ☆44Updated 6 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆105Updated 5 years ago
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆73Updated 5 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆59Updated 6 years ago
• neoyipeng2018 / cnn
  Using fastai and CNNs to predict stock prices
  ☆25Updated 6 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
• carrilloric / CS230
  Generative Adversarial Network for Stock Market Price Prediction
  ☆58Updated 5 years ago
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 7 years ago
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 5 years ago
• quantsense / TimeSeries_Notebooks_Collections
  Jupyter Notebooks Collection for Learning Time Series Models
  ☆73Updated 5 years ago
• maxim5 / time-series-machine-learning
  Machine learning models for time series analysis
  ☆378Updated 4 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆54Updated 6 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆25Updated 8 months 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
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆39Updated last year
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 6 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆81Updated 3 years ago