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.
☆1,157Updated 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.☆606Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆405Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆471Updated last year
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆367Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,125Updated 9 months ago
- Exercises and supplementary material for the machine learning operations course at DTU.☆692Updated this week
- Software Architecture for ML engineers☆408Updated 2 years ago
- [Book-2021] Practical MLOps O'Reilly Book☆787Updated 4 months ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆843Updated 4 months ago
- Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offere…☆461Updated last year
- 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
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆449Updated 3 years ago
- Public repo for DeepLearning.AI MLEP Specialization☆1,899Updated 7 months 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
- Full Stack Deep Learning Online Course☆898Updated 3 years ago
- An ongoing list of pandas quirks☆965Updated 2 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,327Updated 4 months ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆1,982Updated 4 years ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,097Updated 11 months ago
- Generic template to bootstrap your PyTorch project.☆641Updated last year
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆466Updated last week
- 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…☆910Updated last year
- ☆138Updated 2 years ago
- Source for https://fullstackdeeplearning.com☆1,221Updated last month
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆314Updated 3 weeks ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆600Updated 2 years ago
- Educational materials on deep learning by Weights & Biases☆615Updated 4 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆463Updated last week
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆339Updated 3 years ago
- 🧠 A study guide to learn about Transformers☆1,590Updated last year