Alternatives and similar repositories for ml-engineer-roadmap

Users that are interested in ml-engineer-roadmap are comparing it to the libraries listed below

• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,959Updated 7 months ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆899Updated 3 years ago
• mercari / ml-system-design-pattern
  System design patterns for machine learning
  ☆2,685Updated 3 years ago
• enkaranfiles / Machine-Learning-Engineer-Roadmap
  this is for myself, development roadmap
  ☆155Updated last year
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆3,156Updated 11 months ago
• The-AI-Summer / Deep-Learning-In-Production
  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
  ☆1,172Updated 2 years ago
• JsonChao / ML-Roadmap
  Roadmap to becoming a Machine Learning developer in 2020
  ☆457Updated 5 years ago
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,548Updated 4 years ago
• xettrisomeman / Machine-Leaarning-Engineer-Roadmap
  A simple roadmap to become a machine learning engineer.
  ☆97Updated 4 years ago
• SE-ML / awesome-seml
  A curated list of articles that cover the software engineering best practices for building machine learning applications.
  ☆1,297Updated last year
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,212Updated 3 years ago
• athivvat / ai-engineer-guide
  A Roadmap to Becoming an AI Engineer — From Zero to AI Engineer 👨🏻‍🚀 🚀
  ☆319Updated last month
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,801Updated 4 months ago
• the-full-stack / website
  Source for https://fullstackdeeplearning.com
  ☆1,245Updated 3 months ago
• srcolinas / roadmap-to-AI
  ☆310Updated 5 years ago
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆474Updated 2 months ago
• MrMimic / data-scientist-roadmap
  Toturials coming with the "data science roadmap" picture.
  ☆7,202Updated 5 months ago
• EthicalML / awesome-artificial-intelligence-regulation
  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…
  ☆1,345Updated 6 months ago
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,863Updated 4 years ago
• d0r1h / ML-University
  Machine Learning Open Source University
  ☆900Updated last month
• alexeygrigorev / data-science-interviews
  Data science interview questions and answers
  ☆9,391Updated 3 months ago
• visenger / awesome-mlops
  A curated list of references for MLOps
  ☆13,229Updated 8 months ago
• instillai / deep-learning-roadmap
  All You Need to Know About Deep Learning - A kick-starter
  ☆4,633Updated 2 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,484Updated last month
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,138Updated 2 years ago
• ahmedbahaaeldin / From-0-to-Research-Scientist-resources-guide
  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
  ☆7,547Updated last year
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,859Updated 2 years ago
• dair-ai / Mathematics-for-ML
  🧮 A collection of resources to learn mathematics for machine learning
  ☆5,192Updated 2 years ago
• rbhatia46 / Data-Science-Interview-Resources
  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resour…
  ☆3,106Updated 11 months ago
• trekhleb / machine-learning-experiments
  🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
  ☆1,730Updated 8 months ago