mrdbourke / cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
☆602Updated 2 years ago
Alternatives and similar repositories for cs329s-ml-deployment-tutorial:
Users that are interested in cs329s-ml-deployment-tutorial are comparing it to the libraries listed below
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆448Updated 3 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆358Updated last year
- Full Stack Deep Learning Online Course☆891Updated 3 years ago
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API☆227Updated 4 years ago
- ☆202Updated 8 months ago
- 🧠 Material for the Deep Learning Study Group☆391Updated 2 years ago
- ☆342Updated 4 years ago
- 100 exercises to learn Python Datatable☆269Updated 3 years ago
- This course covers how you can use NLP to do stuff.☆267Updated 4 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆334Updated 2 years ago
- Machine Learning interview prep guide☆408Updated 4 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 2 years ago
- Software Architecture for ML engineers☆397Updated 2 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,138Updated last year
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆590Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆207Updated 3 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆459Updated 7 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- ☆137Updated 2 years ago
- Research papers with annotations, illustrations and explanations☆828Updated 3 years ago
- Real data science interview assignments☆94Updated 4 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,207Updated 2 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆668Updated last year
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆554Updated 2 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…☆182Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆260Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- Slides, videos and other resources from MLT Talks☆108Updated 4 years ago
- My personal notes, presentations, and notebooks on everything Deep Learning.☆229Updated 4 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆197Updated 8 months ago