Stars
Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatson, D., O'Hara, J., Tax, N., Mudd, R., & Guy, I. (2023). Expl…
Toolbox for large scale subspace clustering
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Minimal implementation of flow matching with JAX
This repository contains the code source of the Heterogeneous Sequential Feature Forest Flow (HS3F) method.
TorchCFM: a Conditional Flow Matching library
Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
[ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
This is a fully functioning implementation of the Spectral Normalized Gaussian Process in PyTorch.
Parse and manage posts with YAML (or other) frontmatter
An MDN Layer for Keras using TensorFlow's distributions module
Mixture Density Networks (Bishop, 1994) tutorial in JAX
Books, papers and links to latest research in ML/AI
State of the art inference for your bayesian models.
Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"
Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
implementation of the Denoising Autoencoder model for the paper "Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data"
This is an open-source tool to assess and improve the trustworthiness of AI systems.
Frouros: an open-source Python library for drift detection in machine learning systems.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
A toolkit that streamlines and automates the generation of model cards
A game theoretic approach to explain the output of any machine learning model.
A Python package to assess and improve fairness of machine learning models.
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…