Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Last update: Nov 22, 2021

Overview

Linear Models

Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers.

Linear Regression

Optimizer: Square Least
Regularizer: None

Lasso Regression

Optimizer: Gradient Decent
Regularizer: L1

Ridge Regression

Optimizer: Gradient Decent
Regularizer: L2

Owner

Keivan Ipchi Hagh

ISTP-A | Kaggle Contributor | ML Enthusiast

GitHub Repository

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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Metric learning algorithms in Python

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Data from "Datamodels: Predicting Predictions with Training Data"

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MasTrade is a trading bot in baselines3,pytorch,gym

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Automatic extraction of relevant features from time series:

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Hierarchical Time Series Forecasting using Prophet

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Decision Tree Regression algorithm implemented on Python from scratch.

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Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

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Deep Survival Machines - Fully Parametric Survival Regression

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PyHarmonize: Adding harmony lines to recorded melodies in Python

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Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

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jaxfg - Factor graph-based nonlinear optimization library for JAX.

Factor graphs + nonlinear optimization in JAX

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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。

English | 简体中文 AutoX是什么？ AutoX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: AutoX在多个kaggle数据集上，效果显著优于其他解决方案(见效果对比)。简单易用: AutoX的接口和sklearn类似，方便上手使用。

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This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

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Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Related tags

Overview

Linear Models

Linear Regression

Lasso Regression

Ridge Regression

Owner

Keivan Ipchi Hagh

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Metric learning algorithms in Python

Data from "Datamodels: Predicting Predictions with Training Data"

MasTrade is a trading bot in baselines3,pytorch,gym

neurodsp is a collection of approaches for applying digital signal processing to neural time series

Automatic extraction of relevant features from time series:

Hierarchical Time Series Forecasting using Prophet

Decision Tree Regression algorithm implemented on Python from scratch.

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Deep Survival Machines - Fully Parametric Survival Regression

PyHarmonize: Adding harmony lines to recorded melodies in Python

Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

jaxfg - Factor graph-based nonlinear optimization library for JAX.

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。

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

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.

This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

healthy and lesion models for learning based on the joint estimation of stochasticity and volatility

Machine learning that just works, for effortless production applications

SynapseML - an open source library to simplify the creation of scalable machine learning pipelines

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Related tags

Overview

Linear Models

Linear Regression

Lasso Regression

Ridge Regression

Owner

Keivan Ipchi Hagh

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Metric learning algorithms in Python

Data from "Datamodels: Predicting Predictions with Training Data"

MasTrade is a trading bot in baselines3,pytorch,gym

neurodsp is a collection of approaches for applying digital signal processing to neural time series

Automatic extraction of relevant features from time series:

Hierarchical Time Series Forecasting using Prophet

Decision Tree Regression algorithm implemented on Python from scratch.

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Deep Survival Machines - Fully Parametric Survival Regression

PyHarmonize: Adding harmony lines to recorded melodies in Python

Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

jaxfg - Factor graph-based nonlinear optimization library for JAX.

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。

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

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.

This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

healthy and lesion models for learning based on the joint estimation of stochasticity and volatility

Machine learning that just works, for effortless production applications

SynapseML - an open source library to simplify the creation of scalable machine learning pipelines

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。