Explore live open-source projects and AI models.

Resources about time series forecasting and deep learning.

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Fully Convlutional Neural Networks for state-of-the-art time series classification

A tutorial demonstrating how to implement deep learning models for time series forecasting

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc.... Read more

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with... Read more

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"