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

Keivan Ipchi Hagh

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

Simple linear model implementations from scratch.

Hand Crafted Models Simple linear model implementations from scratch. Table of contents Overview Project Structure Getting started Citing this project

2 Sep 13, 2021

Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build, train and deploy machine learning models in a robust and agile way

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

121 Dec 28, 2022

A Lucid Framework for Transparent and Interpretable Machine Learning Models.

Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod

15 Aug 12, 2022

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

FLAML - Fast and Lightweight AutoML

2.2k Jan 9, 2023

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

Tangram Website | Discord Tangram makes it easy for programmers to train, deploy, and monitor machine learning models. Run tangram train to train a mo

1.4k Jan 5, 2023

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.

SageMaker Python SDK SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the S

1.8k Jan 1, 2023

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

25 Dec 28, 2022

easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.

5 Jun 18, 2022

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

152 Jan 2, 2023

Owner

Keivan Ipchi Hagh

ISTP-A | Kaggle Contributor | ML Enthusiast

GitHub

A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.

Demand-Forecasting Business Problem A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.

3 Mar 6, 2022

A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

?? Interactive Machine Learning experiments: ??️models training + ??models demo

1.4k Jan 6, 2023

Python-based implementations of algorithms for learning on imbalanced data.

ND DIAL: Imbalanced Algorithms Minimalist Python-based implementations of algorithms for imbalanced learning. Includes deep and representational learn

220 Dec 13, 2022

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assista

8.9k Jan 9, 2023

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

84 Nov 25, 2022

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

8.1k Dec 30, 2022

CD) in machine learning projectsImplementing continuous integration & delivery (CI/CD) in machine learning projects

CML with cloud compute This repository contains a sample project using CML with Terraform (via the cml-runner function) to launch an AWS EC2 instance

19 Oct 3, 2022

MIT-Machine Learning with Python–From Linear Models to Deep Learning

MIT-Machine Learning with Python–From Linear Models to Deep Learning | One of the 5 courses in MIT MicroMasters in Statistics & Data Science Welcome t

2 Aug 23, 2022

A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!

Stox A Module to predict the "close price" for the next day and give "technical analysis". It uses a Neural Network and the LSTM algorithm to predict

31 Dec 16, 2022

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petas

1.6k Dec 31, 2022

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

Related tags

Overview

Linear Models

Linear Regression

Lasso Regression

Ridge Regression

You might also like...

Simple linear model implementations from scratch.

Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build, train and deploy machine learning models in a robust and agile way

A Lucid Framework for Transparent and Interpretable Machine Learning Models.

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

Owner

Keivan Ipchi Hagh

A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.

A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

Python-based implementations of algorithms for learning on imbalanced data.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques

CD) in machine learning projectsImplementing continuous integration & delivery (CI/CD) in machine learning projects

MIT-Machine Learning with Python–From Linear Models to Deep Learning

A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.