Practical course about Large Language Models.
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Updated
Feb 15, 2026 - 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.
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Repository for the companion Colab notebook of the Domain-Specific Small Language Models book.
Interactive notes (Jupyter Notebooks) for building AI-powered applications
Learning PyTorch through the D2L book. A series of notebooks for the same
Convert your Colab notebook to a PDF. One-minute install. Zero configuration.
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.
Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2
A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
Huggingface Backup - Jupyter, Colab and Python Script
利用预训练BERT进行真假判定,情感分析等
Jupyter notebooks for the Deep Learning course that is held at FEI, VSB-TU Ostrava
📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀
notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library
The Anti-Virus for AI Artifacts & RAG Firewall. A static analysis tool scanning Models and Notebooks for RCE, Datasets and RAG docs for Data Poisoning, PII, and Prompt Injections. Secure your AI Supply Chain.
Repository containing practical exercises and notebooks focused on AI application development and experimentation.
Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI
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