kiristern

202105-16-scRNA-counterfactual

ACE

This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''

advosights_amplification_factor

advosights_influence_prediction

Agile_Data_Code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

ai-chatbot

A full-featured, hackable Next.js AI chatbot built by Vercel

alibi

Algorithms for explaining machine learning models

QLSsummer2022

impute missing gene expression in ST with scRNAseq data

kiristern/Artifact-Eraser

Code for ICME 2024 paper COUNTERFACTUAL EXPLANATIONS FOR FACE FORGERY DETECTION VIA ADVERSARIAL REMOVAL OF ARTIFACTS

kiristern/AttentionPert

kiristern/biopython

Official git repository for Biopython (originally converted from CVS)

kiristern/calibrated_explanations

Repository for the explanation method Calibrated Explanations (CE)

kiristern/CausalDiffAE

Code Repository for CausalDiffAE (ECAI 2024)

kiristern/cellOT

Learning Single-Cell Perturbation Responses using Neural Optimal Transport

kiristern/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

kiristern/EVP

Metric depth estimation from a single image and referring segmentation

kiristern/fargocpt

Fluid dynamics code to study the interaction between protoplanetary disks and planets.

kiristern/Fooocus

Focus on prompting and generating

kiristern/GEARS

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

kiristern/interpret

Fit interpretable models. Explain blackbox machine learning.

kiristern/iter_unc

Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

kiristern/latex-graphics-book-examples

Examples from the book Unlocking LaTeX Graphics: A Concise Guide to TikZ/PGF and PGFPLOTS. See https://latex-graphics.com for more details.

kiristern/learn-then-test

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

kiristern/magicui

UI Library for Design Engineers. Animated components and effects you can copy and paste into your apps. Free. Open Source.

kiristern/openproblems-v2

Formalizing and benchmarking open problems in single-cell genomics

kiristern/prebid.github.io

Repo that controls Prebid.org website

kiristern/python-scrapfly

Scrapfly Python SDK for headless browsers and proxy rotation

kiristern/pytorch-stable-diffusion

Stable Diffusion implemented from scratch in PyTorch

kiristern/RegDiffusion

Diffusion model for gene regulatory network inference.

kiristern/sanbomics_scripts

scripts and notebooks from sanbomics

kiristern/schemaorg

Schema.org - schemas and supporting software

kiristern/scPerturb

scPerturb: A resource and a python/R tool for single-cell perturbation data

kiristern/StreamDiffusion

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

kiristern/UQTTA

kiristern/uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

kiristern/VCoder

VCoder: Versatile Vision Encoders for Multimodal Large Language Models, arXiv 2023 / CVPR 2024

kiristern/what-if-tool

Source code/webpage/demos for the What-If Tool

kiristern/zigzag

Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)