- FastAI - https://course.fast.ai/
- Youtube PlayList - https://www.youtube.com/playlist?list=PLfYUBJiXbdtSvpQjSnJJ\_PmDQB\_VyT5iU
- Course Material Github Repo - https://github.com/fastai/course22/blob/master/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
- Github Free Book Repo - https://github.com/fastai/fastbook
- Book as Jupyter Files - https://course.fast.ai/Resources/book.html
- Paid Amazon Book - https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch-ebook-dp-B08C2KM7NR/dp/B08C2KM7NR
- AIQuizzes - https://aiquizzes.com/
Every Notebook I will create, Will have the material for each lesson and any other resources and links needed and All resources are included in every chapter page on the course website. the notebook is just a playground all materials are included in the main course and in every practice chapter
- Book Chapter 1 - https://github.com/fastai/fastbook/blob/master/01_intro.ipynb
- Slides Notebook(Kaggle) - https://www.kaggle.com/code/jhoward/is-it-a-bird-creating-a-model-from-your-own-data
- Slides Notebook(Github) - https://github.com/fastai/course22/blob/master/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
- Chapter Page - https://course.fast.ai/Lessons/lesson1.html
- Chapter Questions Solutions - https://forums.fast.ai/t/fastbook-chapter-1-questionnaire-solutions-wiki/65647
Websites mentioned
- Ethics.AI - https://ethics.fast.ai/
- Docs.AI - https://docs.fast.ai/
- TimmDocs.AI - https://timm.fast.ai/
- RISE Extension for (Jupyter)- https://rise.readthedocs.io/en/stable/
- FastAI git repo - https://github.com/fastai/fastai
- FastAI nbdev - https://nbdev.fast.ai/
- Book Chapter 2 - https://github.com/fastai/fastbook/blob/master/02_production.ipynb
- Chapter Page - https://course.fast.ai/Lessons/lesson2.html
- Chapter Questions Solutions - https://forums.fast.ai/t/fastbook-chapter-2-questionnaire-solutions-wiki/66392z
- Code Notebook(Colab) - https://colab.research.google.com/drive/1M-mzhZdFQ2XWBSbLCuKzrmLsm0aLEYxQ?usp=sharing
- Transforming Vanilla PyTorch Code into Production Ready ML Pipeline - Without Selling Your Soul - https://blog.zenml.io/pytorch-experiment-tracking/
- aiquizzes(Quizes about the Book) - https://aiquizzes.com/
- Jupyter Extensions - https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html
- Gradio + HuggingFace Spaces - https://www.tanishq.ai/blog/gradio_hf_spaces_tutorial
- Mamba - https://github.com/mamba-org/mamba
- NBDev - https://nbdev.fast.ai/
- Book Chapter 4
- Which image models are best?
- How does a neural net really work?
- Titanic - Machine Learning from Disaster
- Hugging Face Space
- Matrix Multiplication
- Book Chapter 10
- Transformers
- U.S. Patent Phrase to Phrase Matching
- Getting started with NLP for absolute beginners
- Python for Data Analysis, 3E
- How (and why) to create a good validation set
- The problem with metrics is a big problem for AI
- Iterate like a grandmaster!
- More than a Million Pro-Repeal Net Neutrality Comments were Likely Faked
- Book Chapter 4 - 9
- Linear model and neural net from scratch
- Why you should use a framework
- How random forests really work
- Ipywidgets
- OneR paper
- Some great Titanic notebooks: 1; 2; 3; 4
- Book Chapter 9
- How random forests really work
- First Steps: Road to the Top, Part 1
- Small models: Road to the Top, Part 2
- How to explain gradient boosting
- Statistical Modeling: The Two Cultures
- The best vision models for fine-tuning
- Explained.ai