mutual-ai Goto Github PK
Name: OpenMind
Type: User
Name: OpenMind
Type: User
the best machine learning tutorials on the web
Machine Learning Classic Papers(机器学习经典论文)
We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please consult our donation policy. For any other questions, feel free to contact the Repository librarians.
A curated list of Machine Learning Surveys, Tutorials and Books.
machine learning and deep learning tutorials, articles and other resources
Machine Learning with R @FASTCAMPUS
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
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Octave code of Stanford Machine Learning in Coursera (All of the code have been proved right)
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
supervised and unsupervised algorithms from Andrew Ng machine learning class
Machine Learning in Action (机器学习实战)
Machine learning resources
A repository to store shared code in this group.
R script to compare the accuracy of various Machine Learning linear classificaiton algorithms.
Source Code for the book: Machine Learning in Action published by Manning
Source Code for Machine Learning in Action for Python 3.X
This repository contains the R code to complete the assignments of machine learning online course on Coursera offered by professor Andrew NG.
Course Material for the Machine Learning with Text lecture SS2017
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
:cancer: Summarize, Analyze and Visualize MAF files from TCGA or in house studies.
The source code to cluster multiple manifolds with intersection
Manopt, a Matlab toolbox for optimization on manifolds
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
Multivariate Autoregressive State-Space Modeling with R
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MatConvNet: CNNs for MATLAB
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.