The-AI-Summer / Deep-Learning-In-ProductionLinks
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
☆1,178Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-In-Production
Users that are interested in Deep-Learning-In-Production are comparing it to the libraries listed below
Sorting:
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆446Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆477Updated last year
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆370Updated 2 years ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆856Updated last week
- Full Stack Deep Learning Online Course☆902Updated 4 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆465Updated last year
- Software Architecture for ML engineers☆412Updated 3 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,197Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆579Updated 2 years ago
- [Book-2021] Practical MLOps O'Reilly Book☆848Updated 8 months ago
- An ongoing list of pandas quirks☆976Updated 2 years ago
- Source for https://fullstackdeeplearning.com☆1,254Updated 4 months ago
- Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep lear…☆1,164Updated 2 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆341Updated 3 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,028Updated 4 years ago
- 🧠 A study guide to learn about Transformers☆1,610Updated 2 years ago
- ☆345Updated 5 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,214Updated 3 years ago
- Research papers with annotations, illustrations and explanations☆829Updated 4 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- This repo contains annotated research papers that I found really good and useful☆2,749Updated 2 months ago
- https://huyenchip.com/ml-interviews-book/☆4,022Updated 5 months ago
- Companion repository for the book Building Machine Learning Powered Applications☆685Updated 2 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆295Updated 10 months ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆617Updated 2 years ago
- Public repo for DeepLearning.AI MLEP Specialization