Sebastian Raschka's starred repositories
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ml-engineering
Machine Learning Engineering Open Book
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
lightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
a-PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
LLaMA-Cult-and-More
Large Language Models for All, 🦙 Cult and More, Stay in touch !
SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
neurips_llm_efficiency_challenge
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
jekyll-anchor-headings
A GitHub Pages compatible way of adding anchors to your headings without a plug-in or JavaScript :octocat:
graphml-class
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
Training-Studio_app
Lightning HPO & Training Studio App