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keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

lavaan

an R package for structural equation modeling and more

lifelines

Survival analysis in Python

light-bootstrap-dashboard-react

React version of Light Bootstrap Dashboard

lime

Lime: Explaining the predictions of any machine learning classifier

lstm-for-time-series

Deep LSTM/GRU/RNN network for financial time series

m5-accuracy-competition

My second place solution in the M5 Accuracy competition

machinelearningnotebooks

metis

Metis is a learnware platform in the field of AIOps.

multisurv

Multimodal deep learning model for long-term cancer survival prediction

multivariate-analysis--oil-price-prediction-using-lstm-gru-

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

nfl_bayesian_bootstrap

nns

Nonlinear Nonparametric Statistics

optuna

A hyperparameter optimization framework

optuna-examples

Examples for https://github.com/optuna/optuna

patchtst

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

phenolopy

Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

pm-prophet

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

pr-ssm

Python implementation of the PR-SSM.

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

propensity-score-matching

prophet-nb

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

py-ewmacd-improved

improved ewmacd

pycox

Survival analysis with PyTorch

pyewmacd

Python-based implementation of the EWMACD/EDYN vegetation change detection algorithm.

pyextremes

Extreme Value Analysis (EVA) in Python

pypsy

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

pyspc

Statistical Process Control Charts Library for Humans

pysurvival

Open source package for Survival Analysis modeling