Implementation for the different ML tasks on Kaggle platform with GPUs.

Convert files (PDF, image, Word, PPT, Excel, notebooks, code snippets) to markdown using powerful multimodal LLM

vision language models finetuning notebooks & use cases (Medgemma - paligemma - florence .....)

Image Captioning using ViT and GPT. Notebook version in the following link

Notebooks and scripts used for the Nautilex Hackathon

BLIP-2 implementation for training vision-language models. Q-Former + frozen encoders + any LLM. Colab-ready notebooks with MoE variant.

A notebook to learn about ML for astronomy through BTSbot.

A fun collection of notebooks for finetuning AI models... Share ready-to-run notebooks… tips & tricks for finetuning... Hugging Face Transformers, Unsloth, vLLM, PyTorch / CUDA magic

This repository includes Colab notebooks demonstrating various clustering algorithms, from scratch-based methods to advanced deep learning models and embeddings. Each notebook features explanations, visualizations, and quality evaluation metrics for clustering performance.

🔧 Streamline AI agents with this flexible prompt template and task specification project for effective instruction and memory management.

Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.