rasbt/2021-issdl-gdanskJupyter Notebook
Intro to GAN Tutorial for the International Summer School of Deep Learning 2021 in Gdansk
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rasbt のリポジトリ
rasbt/2021-pydata-jeddahJupyter Notebook
Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
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rasbt/Auto-eDJupyter Notebook
A web based tool for visualization of the forward and reverse modes of automatic differentiation
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rasbt/BondPackPython
A collection of PyMOL plugins to visualize atomic bonds.
(22 stars) (11 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/CTGANPython
Conditional GAN for generating synthetic tabular data.
(3 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/DeepLearning-Gdansk2019-tutorialJupyter Notebook
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
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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
(27 stars) (15 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/HbindVizPython
Tools for generating hydrogen-bond interaction visualizations from Hbind
(11 stars) (6 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/LLM-finetuning-scriptsJupyter Notebook
(223 stars) (50 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/LLM-workshop-2024Jupyter Notebook
A 4-hour coding workshop to understand how LLMs are implemented and used
(1,113 stars) (385 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/LLMs-from-scratchJupyter Notebook
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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rasbt/LitServePython
Deploy AI models at scale. High-throughput serving engine for AI/ML models that uses the latest state-of-the-art model deployment techniques.
(8 stars) (2 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A repository to index and organize the latest machine learning courses found on YouTube.
(38 stars) (18 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/MachineLearning-QandAI-bookJupyter Notebook
Machine Learning Q and AI book
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An ongoing fun challenge where I'll try to post one Python benchmark per day.
(133 stars) (29 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
(15 stars) (18 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/R-notesPython
Various R lang related material for teaching.
(24 stars) (5 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
rasbt/RAGsJupyter Notebook
RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
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R Scripts for general data analysis and plotting
(48 stars) (144 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Vision transformer finetuning scripts
(25 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)