ggeffects
ggeffects: Tidy Data Frames of Marginal Effects from Regression Models - Published in JOSS (2018)
flusight
flusight: interactive visualizations for infectious disease forecasts - Published in JOSS (2017)
skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
climpred
climpred: Verification of weather and climate forecasts - Published in JOSS (2021)
statsmodels
Statsmodels: statistical modeling and econometrics in Python
https://github.com/ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
@stdlib/datasets-harrison-boston-house-prices
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/datasets-harrison-boston-house-prices-corrected
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/datasets-pace-boston-house-prices
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
revisit-severson-et-al
Repository for the paper "Statistical learning for accurate and interpretable battery lifetime prediction"
https://github.com/biolab/orange3-timeseries
🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
https://github.com/aeternalis-ingenium/anomalytics
The ultimate anomaly detection and its analytics.
https://github.com/corymccartan/conformalbayes
Jackknife(+) Predictive Intervals for Bayesian Models
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
https://github.com/longxingtan/time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
WASP
WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]
btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
sevenC
7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
plncpro
A machine learning model for the prediction of lncRNAs (Singh et. al NAR 2017)
DeepMove
[WWW 2018] DeepMove: Predicting Human Mobility with Attentional Recurrent Network
https://github.com/business-science/sweep
Extending broom for time series forecasting
codaredistlm
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
plasflow
Software for prediction of plasmid sequences in metagenomic assemblies
explego
eXplego is a decision tree toolkit that provides developers with interactive guidance to help select an appropriate XAI-method for their particular use case.
https://github.com/alan-turing-institute/semaida
Semantic Technologies for the AIDA project
cocons
R package for nonstationary spatial modeling with covariate-based covariance functions
https://github.com/baggepinnen/ltvmodels.jl
Tools to estimate Linear Time-Varying models in Julia
https://github.com/danielvartan/abm-study-group-pres-2
🔮🔄 Presentation for the 6th Meeting of the Agent-Based Model Study Group at University of São Paulo
predictor-api-client
Predictor API client-side application for prediction (RESTful API for predictions via trained models identified by unique IDs)
cerebro
Cerebro: Static Subsuming Mutant Selection, IEEE Transactions on Software Engineering (TSE)
https://github.com/amineouerfellii/econometron
A modular Python package for solving, simulating, and estimating economic and Timeseries models, supporting DSGE, VAR, VARIMA, and N-BEATS
TimeseriesPrediction
Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
atrium-page-classification
Classification of historical page images using ViT - for ATRIUM project
frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
DPI
🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity of Outcome Versus Predictor Variables.
predictivebreakthroughs
Code for Prediction of Transformative Breakthroughs in Biomedical Research manuscript
https://github.com/fernandezfran/bmxfc
:bar_chart::bulb: Datasets, pipelines and predictions of a metric for benchmarking an extreme fast-charging of Li-ion battery electrode materials