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gvamp

Vector Approximate Message Passing inference framework for GWAS

gvipublic

Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)

haldensify

:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

harmonic

Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection

hcubature.jl

pure-Julia multidimensional h-adaptive integration

hesbo

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

highdimbo_dropout

High dimensional Bayesian optimization using dropout

hmm-decoder

This repository is the MATLAB codes related to the following article: "Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior"

hood

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

householderdice

hyperion

Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability

icl-asymptotic

Code for experiments and figures for "Asymptotic theory of in-context learning by linear attention."

icl-state-vector

icl-task-diversity

Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"

ilvr_adm

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

imold

Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)

improved-hyperparameter-learning

Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)

imp_bias_control

Code for reproducing experiments in "Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States""

inat_comp

iNaturalist competition details

incompletelu.jl

Crout ILU for Julia

inferchange

Multiscale Covariance Scanning and related Algorithms

inference_denoising_mri_recon

Office code for "Inference Stage Denoising for Undersampled MRI Reconstruction"

information-theoretic-safe-exploration

Information-Theoretic Safe Exploration with Gaussian Processes

injectivity_relu_layer

This repository contains the code of the paper "Injectivity of ReLU networks: a statistical physics perspective".

inpaintingnmf

This is the accompanying repository for the article Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization authored by Ondřej Mokrý, Paul Magron, Thomas Oberlin and Cédric Févotte, submitted to Elsevier Signal Processing.

invokeai

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

isit_2020_hgf

isl

Training Implicit Generative Models via an Invariant statistical loss (ISL)

isrrr

Integrative Sparse Reduced-Rank Regression for Analysis of High-Dimensional Multi-Omics Data