107 Open source projects that are alternatives of or similar to hdnom

Fast Best-Subset Selection Library

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

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

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

Tracking, notes and programming snippets while learning predictive analytics

Bare bone examples of machine learning in TensorFlow

machine learning algorithm

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

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

HighCharts demo of scatter plot, including a trend line

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

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

Python implementation of Andrew Ng's ML course projects

100 Days of ML Coding

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

Collection of notebooks about quantitative finance, with interactive python code.

A simple machine learning framework written in Swift 🤖

Python code for common Machine Learning Algorithms

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。

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

A simple movie recommendation engine

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

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

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

Deep Learning From Scratch

A Python package for hubness analysis and high-dimensional data mining

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

Aulas da Escola de Inteligência Artificial de São Paulo

For extensive instructor led learning

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

A set of machine learning experiments in Clojure

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

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

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.

gesture recognition toolkit

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

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

A simple implementation of the LOESS algorithm using numpy

Plain python implementations of basic machine learning algorithms

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

Multivariable regression library in Go

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

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

Machine Learning Concepts with Concepts

Regression, Scrapers, and Visualization

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

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

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

Stock price trend prediction with news sentiment analysis using deep learning

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Predict housing prices in Portland, Oregon for selling or buying house

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

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Em…

Lesson material on data science and machine learning topics/concepts

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