leehanchung / awesome-full-stack-machine-learning-coursesLinks
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
☆481Updated 3 months ago
Alternatives and similar repositories for awesome-full-stack-machine-learning-courses
Users that are interested in awesome-full-stack-machine-learning-courses are comparing it to the libraries listed below
Sorting:
- Software Architecture for ML engineers☆411Updated 3 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- FREE ML Courses from Top Universities in CS☆251Updated last year
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆368Updated 2 years ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆247Updated 9 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆478Updated last year
- Blogs on Machine Learning and Deep learning☆114Updated 3 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆223Updated 2 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆292Updated 10 months ago
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.☆339Updated last year
- A collection of useful resources for Machine Learning System Design☆69Updated 4 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆204Updated last year
- A roadmap for those looking to start or expand a career in the data community☆304Updated 3 weeks ago
- 💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…☆1,039Updated 3 weeks ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,173Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps requir…☆154Updated 2 years ago
- ☆52Updated last year
- Machine Learning System Design☆63Updated 3 years ago
- Educational materials on deep learning by Weights & Biases☆638Updated 7 months ago
- 📚 Curated list of machine learning engineering blogs.☆41Updated 4 months ago
- CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)☆432Updated 2 years ago
- 🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…☆113Updated 2 years ago
- A book containing step by step instructions to train deep learning models for a variety of tasks☆37Updated last year
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆617Updated 2 years ago
- A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local c…☆551Updated last year
- Full Stack Deep Learning Online Course☆901Updated 3 years ago
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆167Updated last year
- Source for https://fullstackdeeplearning.com☆1,253Updated 4 months ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆341Updated 3 years ago