chiphuyen / machine-learning-systems-designLinks
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
☆9,955Updated 2 years ago
Alternatives and similar repositories for machine-learning-systems-design
Users that are interested in machine-learning-systems-design are comparing it to the libraries listed below
Sorting:
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,602Updated 7 months ago
- https://huyenchip.com/ml-interviews-book/☆4,501Updated 10 months ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆12,365Updated 2 years ago
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆7,707Updated 2 months ago
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆4,333Updated 3 months ago
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,645Updated 6 years ago
- System design patterns for machine learning☆2,878Updated 4 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,291Updated last year
- Data science interview questions and answers☆9,738Updated 2 months ago
- Classical equations and diagrams in machine learning☆8,005Updated last year
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆4,450Updated 2 weeks ago
- A repo for data science related questions and answers☆2,426Updated 3 years ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,384Updated last year
- This repository is to prepare for Machine Learning interviews.☆1,617Updated 6 years ago
- A Code-First Introduction to NLP course☆3,478Updated 2 years ago
- An ongoing list of pandas quirks☆991Updated 2 years ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,878Updated 2 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,058Updated 4 years ago
- A curated list of references for MLOps☆13,685Updated last year
- Answers to 120 commonly asked data science interview questions.☆3,832Updated 2 years ago
- A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep☆4,397Updated last year
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,451Updated last year
- Natural Language Processing Best Practices & Examples☆6,445Updated 3 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,898Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,698Updated last year
- Book about interpretable machine learning☆5,220Updated 3 weeks ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,431Updated 2 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,094Updated last week
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,897Updated 6 years ago
- 100 Must-Read NLP Papers☆3,847Updated 4 years ago