595 Open source projects that are alternatives of or similar to Applied Ml

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Statistical Machine Intelligence & Learning Engine

Examples use case of PHP-ML library.

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

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Comparison tools

Measure and visualize machine learning model performance without the usual boilerplate.

This repository consists of all my Machine Learning Projects.

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An implementation of multivariate projection pursuit regression and univariate classification

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

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Curated Tensorflow code resources to help you get started with Deep Learning.

🗣️ Tool to generate adversarial text examples and test machine learning models against them

🤖 A portable, header-only, artificial neural network library written in C99

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

Yet another neural network library

A collection of tools for chemometrics and machine learning written in Julia.

IPython widgets, interactive plots, interactive machine learning

PHP-ML - Machine Learning library for PHP

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Machine Learning in R

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.

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

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Various methods for generating synthetic data for data science and ML

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Artificial Neural Network

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

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

All Algorithms implemented in R

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

mlr3: Machine Learning in R - next generation

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A Julia machine learning framework

An Interactive Approach to Understanding Deep Learning with Keras

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Tribuo - A Java machine learning library

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

MLBox is a powerful Automated Machine Learning python library.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

The repository provides usefull python scripts for ML and data analysis

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

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

《深度学习与计算机视觉》配套代码

Vectorized Machine Learning in Python 🐍 From Scratch

Online machine learning methods

Code for Tensorflow Machine Learning Cookbook

R package to interface with OpenML

GPstuff - Gaussian process models for Bayesian analysis

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.