Sebastian Raschka's starred repositories
LLMs-from-scratch
Implement 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)
SimpleTuner
A general fine-tuning kit geared toward diffusion models.
ml-retreat
Machine Learning Journal for Intermediate to Advanced Topics.
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.
hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
LLaMA-Cult-and-More
Large Language Models for All, 🦙 Cult and More, Stay in touch !
ml-road-map
The most streamlined road map to learn ML fundamentals for free.
neurips_llm_efficiency_challenge
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
cffconvert
Command line program to validate and convert CITATION.cff files.
graphml-class
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
NER_decoder
Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace
LLMs-for-RecSys
Finetune a pre-trained GPT-2 model to generate personalized product recommendations for users, based on product reviews and metadata
Training-Studio_app
Lightning HPO & Training Studio App