Explore live open-source projects and AI models.

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary... Read more

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from time... Read more

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

A Keras-based library for analysis of time series data using deep learning algorithms.

Deep Neural Network Ensembles for Time Series Classification

This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.

Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"

Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a... Read more

A paper list for Time series modelling, including prediciton and anomaly detection

[Advanced] Practical Statistical Inference and Machine/Deep Learning for Time Series Forecasting