ritchieng / deep-learning-wizardLinks
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
☆854Updated last month
Alternatives and similar repositories for deep-learning-wizard
Users that are interested in deep-learning-wizard are comparing it to the libraries listed below
Sorting:
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆575Updated 2 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,173Updated 2 years ago
- PyTorch tutorials and best practices.☆1,693Updated 4 months ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆342Updated 3 years ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆372Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆509Updated 3 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆935Updated last year
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆264Updated 5 years ago
- ☆345Updated 4 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆446Updated 3 years ago
- Full Stack Deep Learning Online Course☆902Updated 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- Course: Deep Learning☆193Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆573Updated 5 years ago
- Blogs on Machine Learning and Deep learning☆114Updated 3 years ago
- Research papers with annotations, illustrations and explanations☆829Updated 4 years ago
- A Pytorch Computer Vision template to quick start your next project! 🚀🚀☆355Updated last year
- An unofficial styleguide and best practices summary for PyTorch☆1,995Updated 3 years ago
- Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning☆508Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Summaries for exciting works in the field of Deep Learning.☆353Updated 2 months ago
- How to build RNNs and LSTMs from scratch with NumPy.☆264Updated 4 years ago
- 🧠 Material for the Deep Learning Study Group☆394Updated 3 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆537Updated 6 years ago
- 🧠 A study guide to learn about Transformers☆1,605Updated 2 years ago
- List of Deep Learning Cloud Providers☆792Updated 3 months ago
- List of DL topics and resources essential for cracking interviews☆446Updated 2 years ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,232Updated 2 years ago
- This repo contains annotated research papers that I found really good and useful☆2,741Updated last month