Stars
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A data augmentations library for audio, image, text, and video.
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 characteristi…
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
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.
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 for IT companies
A Java implementation of Locality Sensitive Hashing (LSH)
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A Julia package for Spider Monkey Optimization.
Production infrastructure for machine learning at scale
Genetic algorithm to solve np-complete maximization problems. Originally intended for fantasy sports.
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 develo…
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
Sequential model-based optimization with a `scipy.optimize` interface
A global, black box optimization engine for real world metric optimization.
A collection of awesome .NET libraries, tools, frameworks and software
Configure Python functions explicitly and safely
Open source platform for the machine learning lifecycle
A Python scikit for building and analyzing recommender systems
A library of metrics for evaluating recommender systems