dataflowr / notebooksLinks
code for deep learning courses
☆1,145Updated last month
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- PyTorch tutorials and best practices.☆1,699Updated 6 months ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,269Updated 4 months ago
- An evolving guide to learning Deep Learning effectively.☆717Updated 5 years ago
- An unofficial styleguide and best practices summary for PyTorch☆1,999Updated 3 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,641Updated 5 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,080Updated 7 years ago
- ☆506Updated last year
- Notes and summaries of various ML, Computer Vision & NLP papers.☆563Updated 3 years ago
- Deep Learning with PyTorch, published by Packt☆464Updated last month
- Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes☆432Updated 6 years ago
- Course notes☆727Updated last year
- This introduces a suggestion of mathematical notation protocol for machine learning.☆483Updated last year
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,921Updated 2 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,327Updated last year
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆860Updated last month
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆459Updated last year
- Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning☆514Updated 2 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆721Updated 5 years ago
- Seminars DeepBayes Summer School 2018☆1,045Updated 6 years ago
- ☆822Updated 3 years ago
- NYU Deep Learning Spring 2021☆1,642Updated last month
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- ☆821Updated 6 months ago
- Code, exercises and tutorials of my personal blog ! 📝☆788Updated 5 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆582Updated 2 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,370Updated 6 months ago
- In-depth tutorials for implementing deep learning models on your own with PyTorch.☆1,553Updated last year
- Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)☆1,089Updated 6 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,918Updated 3 weeks ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 4 years ago