Fast and Accurate ML in 3 Lines of Code
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Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
The Time Series Visualization Tool that you deserve.
Probabilistic time series modeling in Python
- time-series
- deep-learning
- forecasting
- neural-networks
Technical Analysis Library using Pandas and Numpy
- trading
- technical-analysis
- python3
- volume
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
STUMPY is a powerful and scalable Python library for modern time series analysis
- data-science
- time-series-analysis
- dask
- numba
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
- deep-learning
- forecasting
- forecasting-model
- linear-models
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
The Numenta Anomaly Benchmark
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
- python
- forecasting
- bayesian
- exponential-smoothing
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
- deep-learning
- machine-learning
- time-series
- time-series-forecasting
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
- time-series
- traffic-forecasting
- benchmarking
- long-time-series-forecasting
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
- arima
- time-series
- forecasting
- forecasting-models
TODS: An Automated Time-series Outlier Detection System
- outlier-detection
- automl
- anomaly-detection
- machine-learning
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- forecasting
- foundation-models
- time-series
- time-series-forecasting
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Scalable machine 🤖 learning for time series forecasting.
- forecast
- forecasting
- machine-learning
- lightgbm
Easy to use .NET library for data and time series manipulation and for scientific programming
Tidy time series forecasting
- forecasting
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
- cwt
- matlab
- cpp
- optimization
A portable C99 library of feature extraction functions for time series and other numeric data