Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers.
Mixed precision training [0] is a technique that mixes the use of full and half precision floating point numbers during training to reduce the memory bandwidth requirements and improve the computatio
Advanced-Machine-Learning This repository contains the code for the project Real
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
PyNNDescent PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbo
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
python-is-cool A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and bec
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
PySpark Stubs A collection of the Apache Spark stub files. These files were generated by stubgen and manually edited to include accurate type hints. T
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
An Open Source Project from the Data to AI Lab, at MIT MLPrimitives Pipelines and primitives for machine learning and data science. Documentation: htt
Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S
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MLOps Zoomcamp Our MLOps Zoomcamp course Sign up here: https://airtable.com/shrCb8y6eTbPKwSTL (it's not automated, you will not receive an email immed
Model Factory Machine learning today is powering many businesses today, e.g., search engine, e-commerce, news or feed recommendation. Training high qu
XGBoost-Ray is a distributed backend for XGBoost, built on top of distributed computing framework Ray.
PlainML Painless Machine Learning Library for python based on scikit-learn. Install pip install plainml Example from plainml import KnnModel, load_ir
PyFlux PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
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