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machine_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_book

Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

maching-learning-programs

Contains programming source sode for several Machine Learning Algorithms including Logistic and Linear regressions, Support Vector Machines, Anomaly Detection, Collaborative Filtering , Neural Nets etc. These were developed as part of Machine Learning Programming assignments

maftools

:cancer: Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

mammographic-

manifold-clustering-algorithm

The source code to cluster multiple manifolds with intersection

manopt

Manopt, a Matlab toolbox for optimization on manifolds

marslandmlalgo

Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.

marss

Multivariate Autoregressive State-Space Modeling with R

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matconvnet

MatConvNet: CNNs for MATLAB

matconvnet-breast-cancer

Course project code for a breast cancer image classification task.

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

math-model-and-machine-learning

数学建模和机器学习的笔记和资料（持续更新中......）。

mathematical-optimization

数学系本科三年级《最优化理论与方法》

mathematical-optimization-1

mathematicalengineeringdeeplearning

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

mathhomework

智能计算数学基础/凸优化/最优化笔记习题

matlab

matlab-bayesian-estimation

Matlab Toolbox for Bayesian Estimation

matlab-mnist-two-layer-perceptron

A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

medical-data

megaman

megaman: Manifold Learning for Millions of Points

meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning