A Library for Advanced Deep Time Series Models.

Lightning ⚡️ fast forecasting with statistical and econometric models.

NeuralProphet: A simple forecasting package

Scalable and user friendly neural 🧠 forecasting algorithms.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A toolkit for machine learning from time series

Python package for conformal prediction

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Python implementation of the conformal prediction framework.

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Python implementation of binary and multi-class Venn-ABERS calibration

Utilities to perform Uncertainty Quantification on Keras Models

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

pycircular is a Python module for circular data analysis

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

🪰 Tuttle - time and money management for freelancers

Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

Conformal Anomaly Detection

🔱 Python client for Pretalx

Code for reproducing results from the paper "Unified Long Horizon Time Series Benchmark"

Data Engineering & Analysis Project- San Francisco Eviction Data ETL Pipeline An end-to-end batch data pipeline for performing ETL on San Francisco City Eviction Data from DataSF. The project aims …

Generative and predictive models for DT deployment in civil engineering