Practical course about Large Language Models.
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Updated
Oct 13, 2024 - Jupyter Notebook
Practical course about Large Language Models.
A Repo to store the Google Colaboratory Notebooks that I have created and shared
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Notebooks for the Practicals at the Deep Learning Indaba 2022.
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
A repo for shared Jupyter and Colab notebooks
Concepts and examples on using and training LLMs
A set of jupyter notebooks
Implementation for the different ML tasks on Kaggle platform with GPUs.
Notebooks to better understand text generation
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本,跟踪与可视化你的机器学习全流程
Interactive notes (Jupyter Notebooks) for building AI-powered applications
Notebooks on using transformers for sequential recommendation tasks
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)
[DEAD/NOT SUPPORTED ANYMORE] This is the only fully working and functioning version of Google Magenta Piano Transformer Colab Notebook.
The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"
A notebook that runs GPT-Neo with low vram (6 gb) and cuda acceleration by loading it into gpu memory in smaller parts.
Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.
This collection of notebooks is based on the Dive into Deep Learning Book. All of the notes are written in Pytorch and the d2l/torch library
notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library
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