habib61,Habib Ganjgahi,github

2022-isba-bnpci

Github repo for the BNP Causal Inference short course

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-diffusion-models-in-medical-imaging

Diffusion Models in Medical Imaging

awesome-domain-generalization

Awesome things about domain generalization, including papers, code, etc.

bdi_dl_seminars

This repository contains code and supporting material for the Oxford BDI seminar series taught from the 22nd of March 2019 to the 14th of June 2019.

bookcode_edition1

This book has BART examples, implemented in python

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

classifier-free-diffusion-guidance-pytorch

a simple unofficial implementation of classifier-free diffusion guidance

conditional_diffusion_mnist

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

conformal

Tools for conformal inference in regression

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

denoising_diffusion_models

PyTorch Implementation of Denoising Diffusion Probabilistic Models

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

diffusion-models-tutorial

Experiment with diffusion models that you can run on your local jupyter instances

fiveminutestats

A repo of short "vignettes" illustrating statistical concepts

fortuna

A Library for Uncertainty Quantification.

gaussian-copula-factor-model

"Bayesian Gaussian Copula Factor Models for Mixed Data" by Jared S. Murray, David B. Dunson, Lawrence Carin, Joseph E. Lucas. This is a read-only mirror of the CRAN R package repository.

habib61.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

iml

iml: interpretable machine learning R package

interpretable-ml-book

Book about interpretable machine learning by Christoph Molnar

minimal-diffusion

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

ml_bazaar

OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.

models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

nb_bart

Python implementation of MCMC algorithm for estimation of spatial negative binomial model with Bayesian additive regression trees

ninga

Non-Parametric Inference for Neuroimaging Genetic Analysis

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

prmlt

Matlab code of machine learning algorithms in book PRML

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