1179 Open source projects that are alternatives of or similar to Ml Course

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

Machine Learning Lectures at the European Space Agency (ESA) in 2018

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python code for common Machine Learning Algorithms

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

Code for Tensorflow Machine Learning Cookbook

Matlab library for gradient descent algorithms: Version 1.0.1

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Machine Learning (EE 5184) in NTU

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Six snippets of code that made deep learning what it is today.

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

Regression, Scrapers, and Visualization

A Tool for Automatic Analysis of Malware Behavior

A lean C++ library for working with point cloud data

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

A scikit-learn based module for multi-label et. al. classification

🏭 JavaScript Machine Learning Toolkit

ELKI Data Mining Toolkit

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

Implementation of different techniques to find insights from the satellite data using Python.

Classification of WAV files from cats and dogs

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Version 2.1.0 released

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A simple movie recommendation engine

A Julia machine learning framework

Machine Learning & Data Mining with JRuby

An open-source, low-code machine learning library in Python

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Statistical Machine Intelligence & Learning Engine

All Algorithms implemented in R

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Telegram Data Clustering contest solution by Mindful Squirrel

A high-level machine learning and deep learning library for the PHP language.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

This repository consists of all my Machine Learning Projects.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

100 Days of ML Coding

A repository for recording the machine learning code

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

机器学习与深度学习算法示例

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Machine Learning in R

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

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

🏗 Statistical models for biomolecular dynamics 🏗

Artificial Neural Networks for Scala

新浪微博情感分析应用

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Machine Learning Course @ Santa Clara University

经典机器学习算法的极简实现