Sebastian Raschka (rasbt)

rasbt

User data from Github https://github.com/rasbt

Company:@Lightning-AI , University of Wisconsin-Madison

Location:US

Home Page:https://sebastianraschka.com

GitHub:@rasbt

Twitter:@rasbt


Organizations
BioPandas
conda-forge
iPRoBe-lab
psa-lab
Raschka-research-group

Sebastian Raschka's repositories

LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:78125Issues:667Issues:203

deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookLicense:MITStargazers:17290Issues:593Issues:30

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:12535Issues:793Issues:57

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Language:PythonLicense:NOASSERTIONStargazers:5082Issues:116Issues:483

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Language:Jupyter NotebookLicense:MITStargazers:4778Issues:61Issues:110

reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

Language:PythonLicense:Apache-2.0Stargazers:1914Issues:22Issues:8

LLM-workshop-2024

A 4-hour coding workshop to understand how LLMs are implemented and used

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1043Issues:43Issues:3

watermark

An IPython magic extension for printing date and time stamps, version numbers, and hardware information

Language:PythonLicense:NOASSERTIONStargazers:935Issues:11Issues:47

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:832Issues:23Issues:15

MachineLearning-QandAI-book

Machine Learning Q and AI book

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:675Issues:12Issues:14

stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Language:Jupyter NotebookStargazers:441Issues:19Issues:1

pycon2024

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024

Language:Jupyter NotebookLicense:MITStargazers:247Issues:10Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:216Issues:6Issues:1

dora-from-scratch

LoRA and DoRA from Scratch Implementations

Language:Jupyter NotebookLicense:MITStargazers:211Issues:2Issues:1

RAGs

RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:138Issues:3Issues:0

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

Language:MarkdownStargazers:34Issues:0Issues:0

ViT-finetuning-scripts

Vision transformer finetuning scripts

Language:PythonLicense:Apache-2.0Stargazers:25Issues:2Issues:0

build-nanogpt

Video+code lecture on building nanoGPT from scratch

Language:PythonStargazers:21Issues:1Issues:0

py-args

Python command line tools as productivity supplements for Posix systems

Language:PythonLicense:GPL-2.0Stargazers:17Issues:2Issues:0

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

Language:PythonLicense:NOASSERTIONStargazers:15Issues:0Issues:0

litdata

Streamline data pipelines for AI. Process datasets across 1000s of machines, and optimize data for blazing fast model training.

Language:PythonLicense:Apache-2.0Stargazers:13Issues:0Issues:0

pytorch-lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Language:PythonLicense:Apache-2.0Stargazers:10Issues:0Issues:0

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Language:PythonLicense:Apache-2.0Stargazers:9Issues:0Issues:0

LitServe

Deploy AI models at scale. High-throughput serving engine for AI/ML models that uses the latest state-of-the-art model deployment techniques.

Language:PythonLicense:Apache-2.0Stargazers:9Issues:0Issues:0

bitsandbytes

8-bit CUDA functions for PyTorch

Language:PythonLicense:MITStargazers:7Issues:0Issues:0

axolotl

Go ahead and axolotl questions

Language:PythonLicense:Apache-2.0Stargazers:6Issues:1Issues:0

test-github-image-rendering

Debug GitHub rendering issues

Language:Jupyter NotebookStargazers:6Issues:1Issues:0

dora

Implementation of DoRA

Language:PythonLicense:MITStargazers:5Issues:0Issues:0

bugreport

A repository to store code examples to reproduce issues for bug reports.

Language:Jupyter NotebookLicense:MITStargazers:4Issues:1Issues:5