Probabilistic time series modeling in Python

Time series forecasting with PyTorch

NeuralProphet: A simple forecasting package

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

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

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

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

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

Fast data store for Pandas time-series data