1124 Open source projects that are alternatives of or similar to Dynaml

R package to interface with OpenML

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.

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

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

PHP-ML - Machine Learning library for PHP

GPstuff - Gaussian process models for Bayesian analysis

ugtm: a Python package for Generative Topographic Mapping

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

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

Yet another neural network library

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

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

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

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

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

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

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

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

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

Machine Learning in R

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

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

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Implementation of a Partial Least Squares Regressor

mlr3: Machine Learning in R - next generation

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

Examples use case of PHP-ML library.

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Tribuo - A Java machine learning library

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

A Julia machine learning framework

Code for Tensorflow Machine Learning Cookbook

Gaussian Process package based on data augmentation, sparsity and natural gradients

The repository provides usefull python scripts for ML and data analysis

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

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

Various methods for generating synthetic data for data science and ML

《深度学习与计算机视觉》配套代码

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

A simple machine learning framework written in Swift 🤖

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

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.

Artificial Neural Networks for Scala

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

Python3 project applying Gaussian process regression for forecasting stock trends

Comparison tools

IPython widgets, interactive plots, interactive machine learning

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

This repository consists of all my Machine Learning Projects.

Code for Java Deep Learning Cookbook

A PureScript, browser-based implementation of simple linear regression.

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

MLBox is a powerful Automated Machine Learning python library.

Machine Learning Concepts with Concepts