Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Chronos: Pretrained Models for Time Series Forecasting

NeuralProphet: A simple forecasting package

High performance datastore for time series and tick data

The machine learning toolkit for time series analysis in Python

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

Portfolio optimization with deep learning.

Time series easier, faster, more fun. Pytimetk.

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

ETNA – Time-Series Library

tfts: Time Series Deep Learning Models in TensorFlow

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

InfluxDB 2.0 python client

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Fast data store for Pandas time-series data