267 Open source projects that are alternatives of or similar to Machine-Learning

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Tensor Flow implementation for Android

15+ Machine/Deep Learning Projects in Ipython Notebooks

Balanced Multiclass Image Classification with TensorFlow on Python.

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Age + Gender Estimation on Android with TensorFlow Lite

How to use TensorLayer

基于Tensorflow2开发的优秀扩展包及项目

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

An AI based application to identify currency and gives audio feedback.

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Parallel Matrix Multiplication Using OpenMP, Phtreads, and MPI

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Deep Learning From Scratch

Aulas da Escola de Inteligência Artificial de São Paulo

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

For extensive instructor led learning

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.

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

A set of machine learning experiments in Clojure

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

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

gesture recognition toolkit

HighCharts demo of scatter plot, including a trend line

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

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

Python implementation of Andrew Ng's ML course projects

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

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

📈 Regression and Classification with UC Davis student quiz data and exam data

Chrome browser extension for using TensorFlow image recognition on web pages

100 Days of ML Coding

Code for Java Deep Learning Cookbook

Tracking, notes and programming snippets while learning predictive analytics

Bare bone examples of machine learning in TensorFlow

A New, Interactive Approach to Learning Python

Code for Tensorflow Machine Learning Cookbook

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

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

⟨𝜑|𝜓⟩.vue - a Vue-based visualization of quantum states and operations

Lesson material on data science and machine learning topics/concepts

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

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

Plain python implementations of basic machine learning algorithms

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

A simple machine learning framework written in Swift 🤖

Multivariable regression library in Go

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

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。

Machine Learning Concepts with Concepts

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

Python code for common Machine Learning Algorithms

machine learning algorithm

Regression, Scrapers, and Visualization

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

Binary Image Classification in TensorFlow

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities