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mirt

Michigan Image Reconstruction Toolbox (MIRT) - Matlab version

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mmcv

OpenMMLab Computer Vision Foundation

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mmsr

Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

movie_recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

mri-pre-processing

Almost in every image processing or analysis work, image pre-preprocessing is crucial step. In medical image analysis, pre-processing is a very important step because the further success or performance of the algorithm mostly dependent on pre-processed image. In this lab, we are working with 3D Brain MRI data. In case of working with brain MRI removing the noise and bias field (which is due to inhomogeneity of the magnetic field) is very important part of preprocessing of brain MRI. To do so, we widely used algorithm Anisotropic diffusion, isotropic diffusion which can diffuse in any direction, and Multiplicative intrinsic component optimization (MICO) have been used for noise removal and bias field correction respectfully. Both quantitative and qualitative performance of the algorithms also have been analyzed.

mri-variationalnetwork

Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

mri_fista

A collection of fast FISTA-type algorithms for MRI.

multi-channel-x-ray-ct

Software supporting "Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography" publication in Inverse Problems journal

mxnet-xception

Xception

nled_code

Code for paper "Image Denoising via Sequential Ensemble Learning"

nlh

Matlab code for our IEEE Trans. on Image Processing paper "NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising"

nlp

兜哥出品 <一本开源的NLP入门书籍>

nltk_data

NLTK Data

numerical-implicitization

Macaulay2 package for computing the image of a polynomial map via numerical algebraic geometry

odl

Operator Discretization Library https://odlgroup.github.io/odl/

onnx

Open Neural Network Exchange

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

operation-wise-attention-network

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)

paper-reading

深度学习经典、新论文逐段精读

patchycapsules

persformer_3dlane

[ECCV2022 oral] Perspective Transformer on 3D Lane Detection

pfdtv

Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation

pipo-fan

PIPO-FAN for multi organ segmentation over partial labeled datasets using pytorch

polyfitsym

Fit symbolic polynomial to data in Matlab

primal-dual-toolbox

GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.