Intro to GAN Tutorial for the International Summer School of Deep Learning 2021 in Gdansk
Dépôts
Dépôts de rasbt
Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
A web based tool for visualization of the forward and reverse modes of automatic differentiation
A collection of PyMOL plugins to visualize atomic bonds.
Conditional GAN for generating synthetic tabular data.
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
Calculates hydrogen-bond interaction tables for protein-small molecule complexes, based on protein PDB and protonated ligand MOL2 structure input. Raschka et al. (2018) J. Computer-Aided Molec. Design
Tools for generating hydrogen-bond interaction visualizations from Hbind
A 4-hour coding workshop to understand how LLMs are implemented and used
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Deploy AI models at scale. High-throughput serving engine for AI/ML models that uses the latest state-of-the-art model deployment techniques.
A repository to index and organize the latest machine learning courses found on YouTube.
Machine Learning Q and AI book
An ongoing fun challenge where I'll try to post one Python benchmark per day.
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
Various R lang related material for teaching.
RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
R Scripts for general data analysis and plotting
Vision transformer finetuning scripts