Sebastian Raschka's Projects
Intro to GAN Tutorial for the International Summer School of Deep Learning 2021 in Gdansk
Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
My Solutions for the Advent of Code 2016
A repository with IPython notebooks of algorithms implemented in Python.
A web based tool for visualization of the forward and reverse modes of automatic differentiation
Go ahead and axolotl questions
Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"
Bayesian Additive Regression Trees For Python
A conda-smithy repository for biopandas.
8-bit CUDA functions for PyTorch
Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"
A collection of PyMOL plugins to visualize atomic bonds.
Word cloud from the results of the book-giveaway
A repository to store code examples to reproduce issues for bug reports.
Video+code lecture on building nanoGPT from scratch
Model evaluation utilities
Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Conditional GAN for generating synthetic tabular data.
Cyclemoid implementation for PyTorch
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Code material for a data science tutorial
A collection of tools to collect and download various data.
Code for the DataPipes article
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A collaboratively written review paper on deep learning, genomics, and precision medicine
Ten Simple Rules for Deep Learning in Biology