Sebastian Raschka's repositories
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
python_reference
Useful functions, tutorials, and other Python-related things
faster-pytorch-blog
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
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.
nn_plus_gzip
Gzip and nearest neighbors for text classification
blog-finetuning-llama-adapters
Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"
comparing-automatic-augmentation-blog
Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment
gradient-accumulation-blog
Finetuning BLOOM on a single GPU using gradient-accumulation
b3-basic-batchsize-benchmark
Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"
srgan-lightning-blog
Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
datapipes-blog
Code for the DataPipes article
ord-torchhub
Ordinal Regression PyTorch Hub
torchmetrics-blog
Code for "TorchMetrics -- How do we use it, and what's the difference between .update() and .forward()"
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
biopandas-feedstock
A conda-smithy repository for biopandas.
bookgiveaway-2022-wordcloud
Word cloud from the results of the book-giveaway
lion-pytorch
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch