Alternatives and similar repositories for time-series-machine-learning

Users that are interested in time-series-machine-learning are comparing it to the libraries listed below

• imhgchoi / ARIMA-LSTM-hybrid-corrcoef-predict
  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
  ☆420Updated 6 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
• gcarq / keras-timeseries-prediction
  Time series prediction with Sequential Model and LSTM units
  ☆118Updated 8 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
• jmartinezheras / reproduce-stock-market-direction-random-forests
  Reproduce research from paper "Predicting the direction of stock market prices using random forest"
  ☆118Updated 7 years ago
• jaungiers / Multidimensional-LSTM-BitCoin-Time-Series
  Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
  ☆343Updated 8 years ago
• tcloaa / Deep-Portfolio-Theory
  Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
  ☆133Updated 4 years ago
• dhingratul / Stock-Price-Prediction
  Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…
  ☆147Updated 7 years ago
• anthonyng2 / Machine-Learning-For-Finance
  Machine Learning for finance and investment introduction
  ☆259Updated 7 years ago
• 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 us…
  ☆433Updated 5 years ago
• NGYB / Stocks
  Programs for stock prediction and evaluation
  ☆364Updated last month
• kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
  Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …
  ☆133Updated 3 years ago
• borisbanushev / anomaliesinoptions
  In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
  ☆263Updated 6 years ago
• BenjiKCF / Neural-Net-with-Financial-Time-Series-Data
  This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
  ☆762Updated 4 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆92Updated 3 years ago
• Rachnog / Deep-Portfolio-Management
  Source code for the blog post on the evolution of the asset allocation methods
  ☆216Updated 5 years ago
• joelowj / Machine-Learning-and-Reinforcement-Learning-in-Finance
  Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
  ☆266Updated 5 years ago
• timestocome / Test-stock-prediction-algorithms
  Use deep learning, genetic programming and other methods to predict stock and market movements
  ☆430Updated 4 years ago
• JCreeks / Machine-Learning-in-Finance
  ☆83Updated 6 years ago
• EmielStoelinga / CCMLWI
  Predicting the stock market with sentiment analysis and LSTM techniques
  ☆83Updated 5 years ago
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆326Updated 6 years ago
• VivekPa / OptimalPortfolio
  An open source library for portfolio optimisation
  ☆361Updated last year
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• duemig / Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network
  Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…
  ☆275Updated 2 years ago
• euclidjda / deep-quant
  Deep learning for forecasting company fundamental data
  ☆141Updated 6 years ago
• albahnsen / ML_RiskManagement
  Short Course - Applied Machine Learning for Risk Management
  ☆249Updated 7 years ago
• doncat99 / StockRecommendSystem
  An intelligent recommender system for stock analyzing, predicting and trading
  ☆141Updated 3 years ago
• NourozR / Stock-Price-Prediction-LSTM
  OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
  ☆609Updated 2 years ago
• thushv89 / datacamp_tutorials
  ☆185Updated 6 years ago
• ayushjain1594 / Stock-Forecasting
  Hidden Markov Model (HMM) based stock forecasting
  ☆104Updated 7 years ago