RichardObi

RichardObi's Stars

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31k2205572.8k

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python18.7k15901.3k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k26848953

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k63160611

• AnswerDotAI/RAGatouille

  Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

  Language:Python3.1k32189213

• JunMa11/MICCAI-OpenSourcePapers

  MICCAI 2019-2023 Open Source Papers

  1.2k329237

• arpitbansal297/Cold-Diffusion-Models

  Official implementation of Cold-Diffusion for different transformations in pytorch.

  Language:Python1k171882

• mikonvergence/DiffusionFastForward

  DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

  Language:Jupyter Notebook61210856

• damian0815/compel

  A prompting enhancement library for transformers-type text embedding systems

  Language:Jupyter Notebook54288747

• tohinz/ConSinGAN

  PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

  Language:Python429122471

• FirasGit/medicaldiffusion

  Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

  Language:Jupyter Notebook37051964

• BMEII-AI/RadImageNet

  RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

  Language:Python35681836

• Kaushalya/medclip

  A multi-modal CLIP model trained on the medical dataset ROCO

  Language:Jupyter Notebook13031919

• yanivnik/sinfusion-code

  Language:Python10361214

• Warvito/generative_brain_controlnet

  Repository to train ControlNet on Brain data (UK BIOBANK) using MONAI Generative Models

  Language:Python75335

• biomedia-mira/causal-gen

  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

  Language:Python56397

• lzl199704/RadImageGAN

  22311

• FiRMLAB-Pisa/pySynthMRI

  PysynthMRI is a python open-source tool which provides a user-friendly interface to synthesize contrast weighted images.

  Language:Python18021

• LangDaniel/MAEMI

  3D masked autoencoder for anomaly detection

  Language:Python16111

• LidiaGarrucho/MAMA-MIA

  The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

  Language:Jupyter Notebook16520

• ci-ber/MorphAEus

  What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection

  Language:Python8101

• tkalbl/RevisitingSkinToneFairness

  Language:Jupyter Notebook600

• ci-ber/GenAI_UAD

  Evaluation of normative learning or generative AI methods for Unsupervised Anomaly Detection

  Language:Python2200

• compai-lab/2024-miccai-dgm-daum

  Language:Python2102

• compai-lab/iml-dl

  Deep Learning Framework

  Language:Python2112

• MartaBuetas/IWBIconference_EnhancingBreastCancerDiagnosis

  Language:Python110

• MartaBuetas/MasterThesis_EnhancingBreastCancerDiagnosis

  Language:Python110

• preeti-verma8600/Radiomics_FID

  Project: Radiomic FID score evaluates GANs via radiomic features, measuring real vs. generated image distributions. Built on TTUR repo, uses PyTorch & PyRadiomics for feature extraction and FID, enabling comprehensive image quality analysis.

  Language:Python110

• smriti-joshi/uncertainty-segmentation-mcdropout

  Language:Python1100

• Warvito/sdxl_vae

  Testing SDXL compression model

  110