adityashrm21

MLOps-Basics

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

AugLy

A data augmentations library for audio, image, text, and video.

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

razer-macos

Color effects manager for Razer devices for macOS. Supports High Sierra (10.13) to Monterey (12.0). Made by the community, based on openrazer.

system-design-interview

System design interview for IT companies

java-LSH

A Java implementation of Locality Sensitive Hashing (LSH)

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

SpiderMonkey.jl

A Julia package for Spider Monkey Optimization.

cortex

Production infrastructure for machine learning at scale

medium-audio

Convert Medium Blogs to Audio Blogs

python-genetic

Genetic algorithm to solve np-complete maximization problems. Originally intended for fantasy sports.

pythonnet

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

machine-learning-systems-design

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

deap

Distributed Evolutionary Algorithms in Python

Evolutionary-Algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

MOE

A global, black box optimization engine for real world metric optimization.

awesome-dotnet

A collection of awesome .NET libraries, tools, frameworks and software

lkpy

Python recommendation toolkit

Product-Recommendations

Product Recommendations solution

rejected.us

:cry: The codebase for rejected.us

HParams

Configure Python functions explicitly and safely

mlflow

Open source platform for the machine learning lifecycle

Surprise

A Python scikit for building and analyzing recommender systems

recmetrics

A library of metrics for evaluating recommender systems