1132 Open source projects that are alternatives of or similar to GDLibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

100 Days of ML Coding

Simple machine learning library / 簡單易用的機器學習套件

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

I will update this repository to learn Machine learning with python with statistics content and materials

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Plain python implementations of basic machine learning algorithms

Python code for common Machine Learning Algorithms

machine learning algorithm

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A PureScript, browser-based implementation of simple linear regression.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Machine Learning Concepts with Concepts

A simple machine learning framework written in Swift 🤖

A New, Interactive Approach to Learning Python

Launch machine learning models into production using flask, docker etc.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Information Retrieval in High Dimensional Data (class deliverables)

practice on CIFAR10 with Keras

General Assembly's 2015 Data Science course in Washington, DC

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Deep Learning From Scratch

simple tutorial on Machine Learning with Scikitlearn

Regression, Scrapers, and Visualization

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

A day to day plan for this challenge. Covers both theoritical and practical aspects

An introductory statistics course for social scientists, using Stata

经典机器学习算法的极简实现

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Interactive Visual Machine Learning Demos.

Java Statistical Analysis Tool, a Java library for Machine Learning

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

sopt:A simple python optimization library

Java version of LIBLINEAR

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

🏭 JavaScript Machine Learning Toolkit

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

subsemble R package for ensemble learning on subsets of data

MATLAB implementations of a variety of nonlinear programming algorithms.

Python library for Bayesian hyper-parameters optimization

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

文本分类基准测试

No description or website provided.

Lesson material on data science and machine learning topics/concepts

Heart Disease prediction using 5 algorithms

Python implementation of Andrew Ng's ML course projects

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

An R package for large scale estimation with stochastic gradient descent

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Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥