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machine-learning-neural-networks-representation

Using Logistic Regression and Neural Networks to recognize handwritten digits with feedforward propagation

machine-learning-neural-networks-training

Neural Network to predict handwritten digits with backpropagation algorithm

machine-learning-support-vector-machines

Machine-Learning-Support-Vector-Machines

machine-learning-unsupervised-learning

Machine-Learning-Unsupervised-Learning

machine_learning-classification

detect patterns and build predictive models from datasets, evaluate machine learning algorithms, compare the results. K-means and other clustering tools, Neural Networks, Decision trees and ensemble learning, Naïve Bayes Classification, Linear, logistic and nonlinear regression

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

machinelearning

machinelearning-1

Machine learning resources

machinelearningproject

Evaluate two simple learning algorithms, one generative and one discriminative.

machinelearningtrick

Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest

mai

code of AAAI 2018 Metric-based Auto-Instructor for Learning Mixed Data Representation

matlab-gan

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

matlab-image-super-resolution-with-sparse-image-representation-using-dictionary-learning

matlab_image_classification

基于matlab和bag of words的图像分类

matlabfunc

Matlab codes for feature learning

mcndcgan

Deep Convolution Generative Adversarial Networks for Matconvnet Toolbox

mdfs

Manifold regularized discriminative feature selection for multi-label learning (PR'19)

mfm-mtmv

Multilinear Factorization Machines for multi-task multi-view learning

mfs

Modular Feature Selection (Mutual-Information-based Feature Selection)

mgtn

2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN

mia_activeshapemodel

Medical Image Analysis 2013 - Active Shape Model

mimlal-r

multi-instance multi -label active learning

mimrf

Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty

ml

Dimensionality Reduction and Classification using Matlab

ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

ml_toolbox

A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

mlc_lsdr

implementation of several label space dimension reduction approaches for multi-label classification

mlproject_facerecognition2

In this project, following feature extraction methods and SVM based classifiers are used for recognizing human faces under different facial expressions, pose and illumination:  Linear and kernel SVM  PCA followed by linear and kernel SVM  LDA followed by linear and kernel SVM

mmi

Codes for Multimodel mutual information

mmtfl

Multiplicative Multitask Feature Learning