gjlper Goto Github PK

libpku

北京大学课程资料整理

lihang-code

《统计学习方法》的代码实现

liveness_detection

a liveness detection system with flashlight. developed by 叶曦，刘云，周立旺，岳大禹

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machine-learning-session

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearning-1

Machine learning algorithms implemented by pure numpy

mathematica-mcmc

Mathematica Markov chain Monte Carlo

matlab-toolboxes

Contains all my Matlab toolboxes.

matlabpyrtools

MatLab tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mcmc-denoiser

Gibbs sampling MCMC image denoiser

mcwnnm-iccv2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

mhf-net

Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

mli-resources

H2O.ai Machine Learning Interpretability Resources

mmlda

A Strong and Efficient Adversarial Defense

mri-analysis-pytorch

MRI analysis using PyTorch and MedicalTorch

mri-cnn

Convolutional neural network in TensorFlow for magnetic resonance images reconstruction from frequency domain

mripy

A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions

mspld-2018

Few-Example Object Detection with Model Communication, T-PAMI 2018

murphy-machine-learning-a-probabilistic-perspective-errata-and-notes-4th-printing

Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

mwcnn

Multi-level Wavelet-CNN for Image Restoration

ner

This project builds a NER system using HMM, CRF and Structured SVM

nips-2017-adversarial

Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track

nips17-adversarial-attack

Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

nlnet

nlp-probability-map-model

NLP概率图模型笔记

nlrn

Code for Non-Local Recurrent Network for Image Restoration (NIPS 2018)

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"