Practical course about Large Language Models.
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Updated
Oct 31, 2025 - Jupyter Notebook
Practical course about Large Language Models.
A Repo to store the Google Colaboratory Notebooks that I have created and shared
Notebooks for the Practicals at the Deep Learning Indaba 2022.
Inference and fine-tuning examples for vision models from 🤗 Transformers
An repository containing all the LLM notebooks with tutorial and projects
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)
Material y notebooks del curso "Tópicos Avanzados en Analítica Computacional". Cubre Deep Learning, NLP, Sistemas de Recomendación, MLOps y Geometric Deep Learning.
ML4FP 2025: notebooks used for the Machine Learning for Fundamental Physics (ML4FP) School 2025
Repository for the companion Colab notebook of the Domain-Specific Small Language Models book.
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
[DEAD/NOT SUPPORTED ANYMORE] This is the only fully working and functioning version of Google Magenta Piano Transformer Colab Notebook.
A repo for shared Jupyter and Colab notebooks
A set of jupyter notebooks
This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.
The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"
Concepts and examples on using and training LLMs
Notebooks to better understand text generation
A notebook that runs GPT-Neo with low vram (6 gb) and cuda acceleration by loading it into gpu memory in smaller parts.
Implementation for the different ML tasks on Kaggle platform with GPUs.
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