chiphuyen / machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
☆9,122Updated last year
Related projects ⓘ
Alternatives and complementary repositories for machine-learning-systems-design
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,344Updated 11 months ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆9,713Updated last year
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆4,739Updated 8 months ago
- https://huyenchip.com/ml-interviews-book/☆3,433Updated 4 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,254Updated last month
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,306Updated last month
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆2,295Updated 4 months ago
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆3,019Updated 5 months ago
- A repo for data science related questions and answers☆2,413Updated 2 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,209Updated 9 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,492Updated last month
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,645Updated 4 years ago
- A curated list of references for MLOps☆12,605Updated 4 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆2,959Updated 2 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,284Updated 6 months ago
- Classical equations and diagrams in machine learning☆7,421Updated 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.☆3,529Updated 4 years ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆27,307Updated 3 months ago
- Data science interview questions and answers☆8,914Updated 2 months ago
- NYU Deep Learning Spring 2020☆6,693Updated last month
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆17,561Updated this week
- 100 Must-Read NLP Papers☆3,748Updated 3 years ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆23,862Updated 2 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,300Updated 3 weeks ago
- An ongoing list of pandas quirks☆944Updated last year
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,351Updated 4 years ago
- A collection of various deep learning architectures, models, and tips☆16,724Updated 9 months ago
- ☆6,057Updated last month
- Answers to 120 commonly asked data science interview questions.☆3,714Updated 9 months ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆38,284Updated last year