Open-Source Contributions🛠️¶
I am an enthusiastic open-source contributor with over 80+ pull requests merged across a variety of well-established Machine Learning and AI repositories.
My philosophy towards open source is rooted in giving back to the community and supporting accessible, scalable AI development. Each merged pull request represents an opportunity to learn, teach and strengthen tools that power cutting-edge applications worldwide.
🌟 Notable Contributions¶
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Optimized Models: torchao & Pruna Quantization Curated a collection showcasing optimized models using TorchAO and Pruna quantization for efficient deployment.
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Cooking with HF: My Recipe Contribution Shared a practical recipe demonstrating Hugging Face workflows with Optuna for reproducible ML experimentation.
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Add Example of
IPAdapterScaleCutoffCallbackto Docs Added an advanced inference callback example to improve user understanding of Diffusers pipelines. -
Notebooks for Diffuser Community Scripts Contributed notebooks showcasing community scripts for streamlined diffusion model usage.
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Add an example using Optuna and Transformers Demonstrated hyperparameter tuning of Transformer models with Optuna in the Optuna Examples Repo.
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Integrate
pyproject.tomlto Improve CI/CD and Tooling Migrated Skorch topyproject.tomlfor enhanced tooling compatibility and streamlined CI/CD processes. -
Add Example for Skorch DataLoader Added a practical DataLoader usage example to improve onboarding for Skorch users.
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Add Example for Comet Integrated a Comet logging example to enhance experiment tracking in Optuna workflows.
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Reduce core dependencies in pyproject.toml Optimized core dependencies to improve installation efficiency and maintainability.