1103 Open source projects that are alternatives of or similar to Neuralnetplayground

PHP-ML - Machine Learning library for PHP

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

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

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

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

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

ugtm: a Python package for Generative Topographic Mapping

Vectorized Machine Learning in Python 🐍 From Scratch

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

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

This repository consists of all my Machine Learning Projects.

Code for Tensorflow Machine Learning Cookbook

IPython widgets, interactive plots, interactive machine learning

Code for Java Deep Learning Cookbook

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

🍊 📊 💡 Orange: Interactive data analysis

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

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

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

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

Various methods for generating synthetic data for data science and ML

Yet another neural network library

All Algorithms implemented in R

A Julia machine learning framework

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

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

Tribuo - A Java machine learning library

Machine Learning in R

Comparison tools

GPstuff - Gaussian process models for Bayesian analysis

Code and Resources for "Applied Machine Learning"

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.

Collection of stats, modeling, and data science tools in Python and R.

Artificial Neural Networks for Scala

Apparel detection using deep learning

LAMA - automatic model creation framework

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Scala Library/REPL for Machine Learning Research

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.

Online machine learning methods

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.

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

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

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

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

Artificial Neural Network

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

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

Python Machine Learning Algorithms

Examples use case of PHP-ML library.

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

Statistical Machine Intelligence & Learning Engine

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

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

An implementation of multivariate projection pursuit regression and univariate classification

mlr3: Machine Learning in R - next generation

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

An Interactive Approach to Understanding Deep Learning with Keras