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math-for-programmers

Source code for the book, Math for Programmers

mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

mathinspector

A visual programing environment for scientific computing with python

mathjax

Beautiful and accessible math in all browsers

matlab

matlab-scripts

some matlab functionality to process and visualize .pcd data

matlabrobotics

MATLAB sample codes for mobile robot navigation

matlabstan

Matlab interface to Stan, a package for Bayesian inference

matlabutility

matplotplusplus

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

matrixprofile

A Python 3 library making time series data mining tasks utilizing matrix profile algorithms accessible to everyone.

matrixslow

A simple deep learning framework

mc_gradients

mcgc

TIP 2019: Multiview Consensus Graph Clustering

mcgeometry

Monte Carlo-based geometry-driven toolbox to fit diffuse correlation spectroscopy data

mdn_jax_tutorial

Mixture Density Networks (Bishop, 1994) tutorial in JAX

metropolis-hastings-random-walk-and-re-weighted-random-walk

a miniproject submitted from a Master course (ID2220 Advanced Topic in Distributed Computing). The goal is to perform Metropolis-Hastings random walk (MHRW) and re-weighted random walk (RWRW) on an offline Gnutella dataset.

mexplus

C++ Matlab MEX development kit.

mgpf

Multiplicative Gaussian Particle Filter. AISTATS 2020.

mht

Multiple Hypothesis Tracking

mht-1

Multiple Hypothesis Tracking

mht-2

Python implementation of the Multiple Hypothesis Tracking algorithm

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

missing-semester

The Missing Semester of Your CS Education

missing-semester-cn.github.io

the CS missing semester Chinese version

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

mit6.s081

mixturemodel

Mixture model

ml-from-scratch

Bare bones Python implementations of various Machine Learning models and algorithms.