a collection of 300+ features/factors drawn from academic publications and leading industry reports

A local dashboard for tracking your Claude Code token usage, costs, and session history. Pro and Max subscribers get a progress bar. This gives you the full picture.

The best-benchmarked open-source AI memory system. And it's free.

Automated Theorem Prover inspired by Aletheia. Claude Code for mathematicians.

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

Lightweight library for probabilistic forecast evaluation and optimization.

A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

Flow-based Conformal Prediction for Multi-dimensional Time Series

Conformal time series decomposition with component-wise exchangeability

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

Bindings for Nixtla's neuralforecast Library in R, specifically KANs, to use with {modeltime} package. Nixtla's KAN is called from R via {reticulate}, which is then ported into {parsnip} and bridge…

Official Implementation of "Predictive Inference with (Fast) Feature Conformal Prediction"

Time Series Transformer for Crop Modeling

Model agnostic prediction intervals

The Resampling Delusion: A Geometric Theory of Class Imbalance

Reproduction code of 'Fast Conformal Prediction using Conditional Interquantile Intervals'

This repository contains the official implementation of the paper "Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction". Authors: Qianyi Chen, B…

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

[arXiv] Conformal Prediction to Control False Positives in Medical Image Segmentation

[ICML'24] Conformal Prediction for Deep Classifier via Label Ranking

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based c…

code to reproduce results in paper Residual Distribution Predictive Systems

Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM

A Python package for fitting Quinlan's Cubist regression model

Conformal Prediction for Time-series Forecasting with Change Points

The best ChatGPT that $100 can buy.