Sebastian Raschka
Sebastian Raschka
stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
pytorch-memory-optim
This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.
MachineLearning-QandAI-book
Machine Learning Q and AI book
faster-pytorch-blog
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
blog-finetuning-llama-adapters
Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"
gradient-accumulation-blog
Finetuning BLOOM on a single GPU using gradient-accumulation
comparing-automatic-augmentation-blog
Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment