Open Source Contributions¶

I have contributed to the following repositories🛠️:

A comprehensive guide for understanding and implementing machine learning metrics effectively.

A streamlined tool for labeling, exploring, and fine-tuning data for machine learning workflows.

Community-driven notebooks offering hands-on tutorials for the Hugging Face ecosystem.

A library for diffusion models in PyTorch, supporting a wide range of image, video, and audio generation tasks.

A modular framework for training and deploying large language models with PyTorch Lightning.

A utility-focused repository aimed at improving workflows for observers in data pipelines.

Collaborative learning notebooks offering examples, tutorials, and guides for Hugging Face tools.

A scikit-learn-compatible neural network library built on PyTorch for seamless integration with machine learning workflows.

A repository for curating and managing high-quality datasets for training and fine-tuning large language models.

A lightweight evaluation library for assessing the performance of models and datasets.

📫 Feel free to connect via LinkedIn or explore my GitHub for more projects and contributions!

Want to Collaborate or Share Insights?¶