I hope this fits the posting guidelines here: For self-learners in the wider area of AI/ML/DL/NLP but also data science in general, we are building a repository of Jupyter notebooks. The repository can be seen as an open, large-scale, interactive textbook – well, hopefully becoming large in the future. The original purpose of these notebooks was to serve as supplementary learning materials for students in my university courses, but now I just share them with everyone.
All topics related to deep learning and neural networks use PyTorch for code examples or full-fledged tutorials. Here are just some current examples:
* Transformers and Attention
* Recurrent Neural Networks – An Introduction
* Working with Batches for Sequence Tasks
* Handwritten Digit Recognition with ANNs
* Text Classification with RNNs
* Data Batching for Training LLMs
* Token Indexing with Vocabularies
Right now, the repository is more targeted toward beginners, with a strong focus on detailed explanations and illustrations. However, we have more advanced topics planned and already in the pipeline. So, yeah, you’re welcome to check it out. We actually created a Discord server for announcement, support, and feedback, but I feel posting the link here might violate some guidelines :).