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41 search results found

Tensorflow_cookbook ⭐ 6,085

Code for Tensorflow Machine Learning Cookbook

Machine_learning_basics ⭐ 3,754

Plain python implementations of basic machine learning algorithms

Machine Learning Specialization Coursera ⭐ 2,082

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Theano Tutorials ⭐ 1,221

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

Machine Learning Octave ⭐ 581

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

2018 Machinelearning Lectures Esa ⭐ 324

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

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Fuku Ml ⭐ 278

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

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Machine_learning ⭐ 183

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

Ml Course ⭐ 168

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

Deep_learning_algorithms_from_scratch ⭐ 164

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

Java Deep Learning Cookbook ⭐ 150

Code for Java Deep Learning Cookbook

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

A simple machine learning framework written in Swift 🤖

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Compendium Of Free Ml Reading Resources ⭐ 106

Compendium of free ML reading resources

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

Machine Learning Models ⭐ 81

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

Ml Coursera ⭐ 67

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

Brihaspati ⭐ 66

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

Strtsmrt ⭐ 57

Stock price trend prediction with news sentiment analysis using deep learning

Machinelearning ⭐ 52

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Machine Learning ⭐ 41

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Machine Learning ⭐ 35

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Neural Networks Intro ⭐ 26

An introduction to neural networks, building up from linear regression...

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Python Andrewngml ⭐ 21

Python implementation of Andrew Ng's ML course projects

Machine_learning_a Z_all_codes_and_templates ⭐ 20

All codes, both created and optimized for best results from the SuperDataScience Course

Models By Example ⭐ 19

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

Machine Learning library for python

Coursera Imperial College Of London Mathematics For Machine Learning Specialization ⭐ 16

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

Tariq Ml Models ⭐ 14

This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.

Machinelearning ⭐ 13

From linear regression towards neural networks...

Ml Cliff Notes ⭐ 13

Machine Learning Cliff Notes

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

Fdia Pdm ⭐ 10

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Introduction_to_deep_learning_coursera ⭐ 9

Intro to Deep Learning by National Research University Higher School of Economics

A tiny educational machine learning and neural network library in Python

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Icoomen_ml_model ⭐ 8

IcoOmen, a machine learning model which will predict the value of an ICO token after 6 months. This uses historic data that has been aggregated from various public websites and APIs (Application programming interfaces), as well as data that has been manually collected and calculated.

Machine Learning And Deep Learning ⭐ 8

A repository of my activities, jupyter notebooks, datasets, projects, and resources used in machine learning algorithms for data science and deep learning

Machine Learning ⭐ 7

Machine learning algorithms from scratch

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

Machine_learning ⭐ 7

Machine Learning - Coursera.org

Machine Learning ⭐ 7

Andrew Ng's Machine Learning Course

Machine Learning And Deep Learning ⭐ 6

A repository comprising the algorithms of Machine Learning implemented on tensorflow 2 with keras and many other special machine learning libraries.

Nba Draft Model 2018 ⭐ 6

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

Python machine learning library using powerful numerical optimization methods.

Deep_learning_101 ⭐ 6

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

100daysofmlcode ⭐ 6

100 days ML challenge by Siraj Raval

The codes used in the Machine Learning course

Machine Learning Stanford ⭐ 5

My personal notes on Machine Learning Stanford University course by Andrew Ng.

Mxnetr Examples ⭐ 5

This project provides a series of MxNetR example for letting readers to get started quickly.

Machine Learning ⭐ 5

My Implementation of Machine Learning models

Courseramachinelearning ⭐ 5

Stanford's Machine Learning Exercises

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