This repository provides a collection of Google Colaboratory notebooks for various machine learning tasks, primarily focused on Natural Language Processing (NLP) and Computer Vision (CV). It is intended for researchers and practitioners looking for readily available, pre-configured Colab environments to experiment with state-of-the-art models and techniques.

How It Works

The project leverages Google Colaboratory, a free Jupyter notebook environment that runs entirely in the cloud and provides access to GPUs. The notebooks are organized by domain (NLP/NLG, CV, GANs/Misc, Streamlit) and showcase implementations of popular models like T5, DialoGPT, ViT, ConvNeXT, and YOLACT++, often utilizing the Hugging Face Transformers library.

Quick Start & Requirements

• Access notebooks directly via Google Colaboratory.
• Requires a Google account.
• No installation needed; run directly in the browser.
• Links to specific notebooks are provided within the README for direct access.

Highlighted Details

• Extensive NLP/NLG examples including T5 fine-tuning for common generation, QG, and multitask learning, as well as DialoGPT for conversational AI.
• Computer Vision notebooks cover ViT pre-training, ConvNeXT fine-tuning, and OCR implementations.
• Includes GANs/Misc examples like 3D Photo Inpainting, FUNIT, and TWINGAN.
• Demonstrates Streamlit app creation and Hugging Face pipelines.

Maintenance & Community

• Maintained by mrm8488.
• No explicit community channels or roadmap links are provided in the README.

Licensing & Compatibility

• The README does not specify a license.
• Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The repository is a collection of shared notebooks, and as such, may not represent a cohesive, actively maintained library. The lack of a specified license raises concerns about usage rights and commercial compatibility.