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awesome_time_series_in_python
https://github.com/RomaFranecki/awesome_time_series_in_python
Last synced: 1 day ago
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Examples or singular models
- M4 competition
- awesome-public-datasets
- Time Series Forecasting
- concept page
- cesium
- ES-RNN forecasting algorithm
- Deep learning methods for time series classification
- LSTM-Neural-Network-for-Time-Series-Prediction
- LSTM_tsc - series classification neural network|
- shapelets-python
- UCR_Time_Series_Classification_Deep_Learning_Baseline - of-the-art time series classification |
- xarray - dimensional data structures as long as they have a shared time index |
- xpandas - heterogeneous tabular data of any type, including time series, and encapsulates feature extraction and transformation modelling in an sklearn-compatible transformer interface, work in progress. |
- ecmwf_models
- pandas-datareader
- automl_service
- thunder
- whisper - based time-series database format |
- pysf - learn compatible library for supervised forecasting |
- WTTE-RNN
- artic
-
Libraries
- bta-lib
- Darts
- GENDIS
- fecon235
- ffn
- flint
- Flow Forecast
- hctsa
- HMMLearn - learn compatible API |
- khiva-python
- matrixprofile-ts
- Nitime
- Orbit
- Pandas TA
- Pastas
- prophet - linear growth |
- pyDSE
- PyFlux
- pyts
- ruptures
- seglearn - learn pipeline concept to sequence data |
- statsmodels
- stumpy - pairs-similarity-search |
- TensorFlow-Time-Series-Examples
- timemachines
- tsai - of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai |
- ta
- tsflex
- tsfresh
- tspreprocess
- tsmoothie - series smoothing and outlier detection in a vectorized way|
- pyramid
- tslearn
- Arrow - friendly approach to creating, manipulating, formatting and converting dates, times, and timestamps |
- pyFTS - based models for time series forecasting, including multi-step, point, interval and probabilistic forecasting |
- Traces - spaced time series analysis |
- ETNA
- glm-sklearn - learn compatible wrapper around the GLM module in [statsmodels](https://github.com/statsmodels/statsmodels) |
- tensorflow_probability.sts
- TIMEX - series-forecasting-as-a-service platforms/websites, with a fully automated data ingestion, pre-processing, prediction and results visualization pipeline.
- sktime - learn compatible library for learning with time series/panel data including time series classification/regression and (supervised/panel) forecasting |
Programming Languages
Categories
Sub Categories
Keywords
python
26
time-series
21
forecasting
11
time-series-analysis
9
machine-learning
9
pandas
8
data-science
8
timeseries
8
deep-learning
7
time-series-classification
4
timeseries-analysis
4
econometrics
4
pytorch
4
python3
4
finance
3
feature-extraction
3
time-series-forecasting
3
anomaly-detection
3
statistics
3
technical-analysis
2
deep-neural-networks
2
jupyter-notebook
2
transformer
2
numpy
2
fundamental-analysis
2
matrix-profile
2
regression-models
2
motif-discovery
2
regression
2
arima
2
changepoint
2
data-analysis
2
prediction
2
dask
2
pydata
2
classification
2
technical-analysis-library
2
trading
2
forecasting-models
2
count-model
1
exponential-smoothing
1
forecast
1
orbit
1
probabilistic
1
signal-processing
1
probabilistic-programming
1
pyro
1
pystan
1
scientific-computing
1
technical-indicators
1