Machine Learning from Scratch

Last update: Jul 05, 2022

Overview

Machine Learning from Scratch

Author: Shengxuan Wang

From: Oregon State University

Content:

Building Machine Learning model from Scratch, without using any ML package. Only use data processing package, e.g. Pandas and Numpy, and a package I made: Popanda (see the detail here: https://github.com/shawn120/Popanda_Enhance_of_Pandas) Then using some data set to test them.

Models include Linear Regression, Logistic Regression, Perceptron, and Decision Tree.

Owner

ShawnWang

GitHub Repository

End to End toy example of MLOps

churn_model MLOps Toy Example End to End You might find below links useful Connect VSCode to Git MLFlow Port Heroku App Project Organization ├── LICEN

6 Feb 06, 2022

CrayLabs and user contibuted examples of using SmartSim for various simulation and machine learning applications.

SmartSim Example Zoo This repository contains CrayLabs and user contibuted examples of using SmartSim for various simulation and machine learning appl

14 Mar 30, 2022

Quantum Machine Learning

The Machine Learning package simply contains sample datasets at present. It has some classification algorithms such as QSVM and VQC (Variational Quantum Classifier), where this data can be used for e

364 Jan 08, 2023

Library of Stan Models for Survival Analysis

survivalstan: Survival Models in Stan author: Jacki Novik Overview Library of Stan Models for Survival Analysis Features: Variety of standard survival

122 Jan 06, 2023

Optimal Randomized Canonical Correlation Analysis

ORCCA Optimal Randomized Canonical Correlation Analysis This project is for the python version of ORCCA algorithm. It depends on Numpy for matrix calc

1 Nov 21, 2021

Sequence learning toolkit for Python

seqlearn seqlearn is a sequence classification toolkit for Python. It is designed to extend scikit-learn and offer as similar as possible an API. Comp

653 Dec 27, 2022

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h

1.9k Jan 06, 2023

scikit-learn: machine learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started

3 Dec 16, 2022

Formulae is a Python library that implements Wilkinson's formulas for mixed-effects models.

formulae formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations li

34 Dec 21, 2022

Stacked Generalization (Ensemble Learning)

Stacking (stacked generalization) Overview ikki407/stacking - Simple and useful stacking library, written in Python. User can use models of scikit-lea

192 Dec 23, 2022

机器学习检测webshell

ai-webshell-detect 机器学习检测webshell,利用textcnn+简单二分类网络,基于keras,花了七天检测原理: 从文件熵文件长度文件语句提取出特征,然后文件熵与长度送入二分类网络,文件语句送入textcnn 项目原理,介绍,怎么做出来的

56 Dec 14, 2022

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Crypto-Currency-Predictor This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you

6 Dec 04, 2022

Tools for diffing and merging of Jupyter notebooks.

nbdime provides tools for diffing and merging of Jupyter Notebooks.

2.3k Jan 03, 2023

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI framework developed to create large-scale ML-driven multisca

4 Feb 16, 2022

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

124 Dec 28, 2022

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

1.3k Jan 06, 2023

Machine Learning from Scratch

Related tags

Overview

Machine Learning from Scratch

Content:

Owner

ShawnWang

End to End toy example of MLOps

CrayLabs and user contibuted examples of using SmartSim for various simulation and machine learning applications.

Quantum Machine Learning

Library of Stan Models for Survival Analysis

Optimal Randomized Canonical Correlation Analysis

Sequence learning toolkit for Python

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

scikit-learn: machine learning in Python

Formulae is a Python library that implements Wilkinson's formulas for mixed-effects models.

Stacked Generalization (Ensemble Learning)

机器学习检测webshell

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Tools for diffing and merging of Jupyter notebooks.

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

DaCeML - Machine learning powered by data-centric parallel programming.

Python bindings for MPI

Flightfare-Prediction - It is a Flightfare Prediction Web Application Using Machine learning,Python and flask

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Machine Learning from Scratch

Related tags

Overview

Machine Learning from Scratch

Content:

Owner

ShawnWang

End to End toy example of MLOps

CrayLabs and user contibuted examples of using SmartSim for various simulation and machine learning applications.

Quantum Machine Learning

Library of Stan Models for Survival Analysis

Optimal Randomized Canonical Correlation Analysis

Sequence learning toolkit for Python

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

scikit-learn: machine learning in Python

Formulae is a Python library that implements Wilkinson's formulas for mixed-effects models.

Stacked Generalization (Ensemble Learning)

机器学习检测webshell

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Tools for diffing and merging of Jupyter notebooks.

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

DaCeML - Machine learning powered by data-centric parallel programming.

Python bindings for MPI

Flightfare-Prediction - It is a Flightfare Prediction Web Application Using Machine learning,Python and flask

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。