utcsox

recommenders

Best Practices on Recommendation Systems

neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 3213 LeetCode Problems (Weekly Update)

model_search

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

openfl

An open framework for Federated Learning.

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

ml-metadata

For recording and retrieving metadata associated with ML developer and data scientist workflows.

sktime

A unified framework for machine learning with time series

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

knowledge-extraction-recipes-forms

Knowledge Extraction For Forms Accelerators & Examples

yournewcloud

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

mlops-on-gcp

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

pipelines

demo of scikit-learn pipelines

bpr

Bayesian Personalized Ranking using PyTorch

benchmarks

Comparison tools

image-similarity-deep-ranking

mitx-6.86x-machine-learning

Python code written for MIT's Machine Learning course offered on edX

coding-interview-university

A complete computer science study plan to become a software engineer.

great_expectations

Always know what to expect from your data.

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing