ahkarami / Deep-Learning-in-ProductionLinks
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
☆4,354Updated 8 months 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:
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,486Updated last month
- PyTorch tutorials and best practices.☆1,690Updated 3 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,984Updated 6 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,858Updated 2 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,170Updated 2 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,482Updated 2 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,450Updated last year
- Lab materials for the Full Stack Deep Learning Course☆1,211Updated 3 years ago
- https://huyenchip.com/ml-interviews-book/☆3,795Updated 4 months ago
- An unofficial styleguide and best practices summary for PyTorch☆1,989Updated 3 years ago
- This repo contains annotated research papers that I found really good and useful☆2,740Updated 2 weeks ago
- Accelerated deep learning R&D