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Awesome Diffusion Models In Medical Imaging ⭐ 923

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

Cbdnet Pytorch ⭐ 91

PyTorch implementation of CBDNet.

Restoring Extremely Dark Images In Real Time ⭐ 86

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Open source Python library for building bioimage analysis pipelines

Rankpruning ⭐ 79

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Napari Hub ⭐ 46

Discover, install, and share napari plugins

Cbdnet Tensorflow ⭐ 38

An unofficial implementation of CBDNet by Tensorflow.

Ecg Denoise ⭐ 26

Denoise of ECG signal with machine learning

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Srcnn Anime ⭐ 16

A Super-Resolution Convolutional Neural Network builds for artwork, anime, and illustration. Senior Project - Artwork Enlargement and Quality Improvement using Machine Learning. ICITEE 2021 - Enhancement of Anime Imaging Enlargement Using Modified Super-Resolution CNN.

Rnnoise_wrapper ⭐ 15

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

Dictlearn ⭐ 14

Dictionary Learning for image processing

Bayes_infotheory ⭐ 12

Lectures on Bayesian statistics and information theory

Fastlapmap ⭐ 9

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

Web Deep Image Prior ⭐ 9

Deep Image Prior for denoising, superresolution, inpainting and more in the browser

Torchepll ⭐ 5

EPLL implementation using pytorch

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