TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- forecasting
- r
- python
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Fast and Accurate ML in 3 Lines of Code
📈 A small, fast chart for time series, lines, areas, ohlc & bars
- time-series
- ohlc
- line-chart
- performance
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
Pretty time-series line graphs
The Time Series Visualization Tool that you deserve.
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Cubism.js: A JavaScript library for time series visualization.
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Interactive visualizations of time series using JavaScript and the HTML canvas tag
- dygraphs
- visualization
- charting-library
- timeseries
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Open source time series library for Python
An R package for causal inference in time series
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
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
A time based / event series interactive visualization using d3.js