#pytorch
4 posts
Framework FastTrack
Quick refresher guides for data-related frameworks — from TensorFlow to PyTorch, simplified for rapid learning.
Quantization: What, Why, and How
A deep dive into model quantization — reducing model size while preserving accuracy. Covers symmetric and asymmetric approaches with code.
Building the Transformer from Scratch
An object-oriented implementation of the complete Transformer architecture in PyTorch — from input embeddings to the full encoder-decoder model.
Implementing Transformers
A practical guide to coding the Transformer architecture from scratch — turning the 'Attention is All You Need' paper into working code.