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

ETNA – time series forecasting framework

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a distributed deep learning platform

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Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

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🌊 River is a Python library for online machine learning.

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Stacked Generalization (Ensemble Learning)

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Model factory is a ML training platform to help engineers to build ML models at scale

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SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and TensorFlow

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139 Jan 01, 2023

Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.

Bottleneck Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. As one example, to check if a np.array has any NaNs using

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A Tools that help Data Scientists and ML engineers train and deploy ML models.

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Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

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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

ETNA – time series forecasting framework

a distributed deep learning platform

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python

🌊 River is a Python library for online machine learning.

Stacked Generalization (Ensemble Learning)

Model factory is a ML training platform to help engineers to build ML models at scale

SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and TensorFlow

Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.

A Tools that help Data Scientists and ML engineers train and deploy ML models.

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

A webpage that utilizes machine learning to extract sentiments from tweets.

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A Python package to preprocess time series

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Uplift modeling and causal inference with machine learning algorithms

MLFlow in a Dockercontainer based on Azurite and Postgres

An open-source library of algorithms to analyse time series in GPU and CPU.

cuML - RAPIDS Machine Learning Library

Pydantic based mock data generation