A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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Updated
Nov 13, 2024 - Python
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
AtsPy: Automated Time Series Models in Python (by @firmai)
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
An open source library for Fuzzy Time Series in Python
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.
Python based Quant Finance Models, Tools and Algorithmic Decision Making
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
Feature engineering and machine learning: together at last!
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
BILSTM, GMDH and Genetic COVID Forecasting Into Desired Steps of Future
Benchmarking tools for applying AI/ML to data assimilation
Lisflood OS (Calibration tool)
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