355 Open source projects that are alternatives of or similar to GARD

An Interactive Approach to Understanding Deep Learning with Keras

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

Python package for interactive data visualization

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

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

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

🎓 Tidy tools for academics

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Multiple Regression Package for PHP

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

Journal-style regression tables

An implementation of multivariate projection pursuit regression and univariate classification

An embeddable map that shows climate change projections. How hot will it be by 2070 if we don't do something about it? Accessible at https://climatechange.codeforafrica.org

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

The Hector Simple Climate Model

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.

Fast & numerically stable statistical analysis

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Field-aware factorization machine (FFM) with FTRL

simple tutorial on Machine Learning with Scikitlearn

经典机器学习算法的极简实现

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Notes and practicals for my "Physics of the Climate System" lecture

A Julia package for estimating ARMA-GARCH models.

Python Machine Learning Algorithms

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

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

Use the climate data extraction tool to download climate data from the selected Environment and Climate Change Canada datasets. You can specify the date ranges, variables, download format and other options.

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

机器学习-Coursera-吴恩达- python+Matlab代码实现

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

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

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

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

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

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Analog CE

Estimate the total emissions for popular CryptoArt platforms.

No description or website provided.

A Python interface between Earth Engine and xarray for processing time series data

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

An R 📦 for finding and getting geospatial earth systems data

Uniformly encapsulate different types of switches as user input devices

Machine Learning models from scratch with a better visualisation

The largest three-dimensional web-based interactive browser of satellite, weather, climate, and other time-aware geospatial data on the web, built upon NASA's revolutionary WorldWind technology.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

cheat sheet for Artificial Intelligence

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Machine Learning Course @ Santa Clara University

R Code Examples Multi-dimensional/Panel Data

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…