Methods for computing the average cost and making Bayes decisions

Variational Bayes HMM over x-vectors diarization

A lightweight library for Frechet Audio Distance calculation.

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Tools for handling multimodal data in machine learning projects.

Inference on non-linear dynamical systems written in JAX

Transformer Variational Autoencoder experiment

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

Recognizing and exploiting conjugacy without a domain-specific language

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

Uplift modeling and causal inference with machine learning algorithms

Deep generative models for semi-supervised learning.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Purified Purine.

An algorithm for generating random doubles.

Classical equations and diagrams in machine learning

Subband PCA feature calculation

Easy benchmarking of all publicly accessible implementations of convnets

Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.

A variational method that looks like EP

scikit-learn: machine learning in Python

scikit-learn: machine learning in Python