Sebastian Raschka (rasbt)

rasbt

Geek Repo

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

Location:Madison, WI

Home Page:https://magazine.sebastianraschka.com

Twitter:@rasbt

Github PK Tool:Github PK Tool


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

Sebastian Raschka's repositories

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

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python_reference

Useful functions, tutorials, and other Python-related things

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watermark

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

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faster-pytorch-blog

Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy

pytorch-memory-optim

This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.

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nn_plus_gzip

Gzip and nearest neighbors for text classification

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blog-finetuning-llama-adapters

Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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comparing-automatic-augmentation-blog

Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment

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gradient-accumulation-blog

Finetuning BLOOM on a single GPU using gradient-accumulation

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b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

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srgan-lightning-blog

Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App

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datapipes-blog

Code for the DataPipes article

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ord-torchhub

Ordinal Regression PyTorch Hub

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torchmetrics-blog

Code for "TorchMetrics -- How do we use it, and what's the difference between .update() and .forward()"

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CTGAN

Conditional GAN for generating synthetic tabular data.

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lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, quantization, LoRA fine-tuning, pre-training. Apache 2.0-licensed.

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metrics

Machine learning metrics for distributed, scalable PyTorch applications.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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text

Data loaders and abstractions for text and NLP

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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biopandas-feedstock

A conda-smithy repository for biopandas.

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bookgiveaway-2022-wordcloud

Word cloud from the results of the book-giveaway

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lion-pytorch

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

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