time-series

An environmental monitoring and regulation system

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

The machine learning toolkit for time series analysis in Python

List of tools & datasets for anomaly detection on time-series data.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

List of papers, code and experiments using deep learning for time series forecasting

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Deep Learning Server and CLI for Torch and TensorRT

Algorithms for outlier, adversarial and drift detection

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Open source framework for processing, monitoring, and alerting on time series data

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

A Python toolbox for gaining geometric insights into high-dimensional data

A Python package for time series classification

Code Repository for Liquid Time-Constant Networks (LTCs)

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

A cloud-native open source distributed time series database with high performance, high compression ratio and high availability.

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Causal Discovery in Python. Learning causality from data.

Synthetic data generators for tabular and time-series data

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