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The Top 23 Python Machine Learning Matlab Open Source Projects

Open source projects categorized as Python Machine Learning Matlab

Categories > Machine Learning > Machine Learning

Categories > Programming Languages > Matlab

Categories > Programming Languages > Python

Coursera Ml Using Matlab Python ⭐ 460

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

most recent commit 6 years ago

Pretty Print Confusion Matrix ⭐ 408

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

dependent packages 1total releases 2most recent commit 2 years ago

pypi pretty-confusion-matrix} Downloads

Change Detection Review ⭐ 352

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

most recent commit 3 years ago

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

total releases 30most recent commit 3 months ago

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

most recent commit 3 years ago

Notebook ⭐ 140

✍ 记录一路走来学习的计算机专业知识，力求构建 AI & CS & SE 知识体系

most recent commit 2 years ago

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

total releases 38most recent commit 3 years ago

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

most recent commit a year ago

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

most recent commit 8 months ago

Machine Learning For Solar Energy Prediction ⭐ 57

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

most recent commit 4 years ago

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

total releases 2most recent commit 2 years ago

Library of transfer learners and domain-adaptive classifiers.

total releases 5most recent commit 5 years ago

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

dependent packages 3total releases 8most recent commit 4 years ago

Velocity ⭐ 32

Structure From Motion (SFM) for vehicle speed

most recent commit 3 months ago

Iptutorials ⭐ 29

Image processing tutorials

most recent commit 6 months ago

Dbcollection ⭐ 27

A collection of popular datasets for deep learning.

total releases 18most recent commit a year ago

Machine_learning_from_scratch_matlab_python ⭐ 21

Vectorized Machine Learning in Python 🐍 From Scratch

most recent commit 3 years ago

Mlss 2016 ⭐ 18

MLSS 2016 material.

most recent commit 8 years ago

Projection Pursuit ⭐ 16

Code for performing various projection pursuit routines

most recent commit 2 years ago

Neural Component Analysis ⭐ 12

This repository is mainly to show the source code of neural component analysis.

most recent commit 6 years ago

Perturbed Topological Signature ⭐ 11

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

most recent commit 5 years ago

Open Source Contributions ⭐ 11

This is an open-source contribution opportunity. It is for everyone. So, Hurry up...!! Don't forget to spread love and if you like give a ⭐️

most recent commit 7 months ago

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

most recent commit 6 years ago

The 3 Most Depended On Python Machine Learning Matlab Open Source Projects

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

dependent packages 3total releases 8latest release September 14, 2019most recent commit 4 years ago

Pretty Print Confusion Matrix ⭐ 408

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

dependent packages 1total releases 2latest release November 19, 2021most recent commit 2 years ago

pypi pretty-confusion-matrix} Downloads

An implementation of Anchor Graph Hashing (Liu et al. 2011) in Python.

dependent packages 1total releases 4latest release December 25, 2022most recent commit 6 months ago

pypi aghasher} Downloads

The 8 Latest Releases In Python Machine Learning Matlab Open Source Projects

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

total releases 30latest release November 27, 2023most recent commit 3 months ago

An implementation of Anchor Graph Hashing (Liu et al. 2011) in Python.

dependent packages 1total releases 4latest release December 25, 2022most recent commit 6 months ago

pypi aghasher} Downloads

Pretty Print Confusion Matrix ⭐ 408

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

dependent packages 1total releases 2latest release November 19, 2021most recent commit 2 years ago

pypi pretty-confusion-matrix} Downloads

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

total releases 38latest release January 08, 2021most recent commit 3 years ago

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

total releases 2latest release March 27, 2020most recent commit 2 years ago

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

dependent packages 3total releases 8latest release September 14, 2019most recent commit 4 years ago

Dbcollection ⭐ 27

A collection of popular datasets for deep learning.

total releases 18latest release July 26, 2018most recent commit a year ago

Library of transfer learners and domain-adaptive classifiers.

total releases 5latest release April 16, 2018most recent commit 5 years ago

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