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Report abuseHi, I’m Flower, a CS PhD student at the UC San Diego, supervised by Prof. Nuno Bandeira. My research focuses on developing machine learning method, including retrieval, reranking, generative models, and graph neural networks, with applications in mass spectrometry-based proteomics and recommendation systems.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Your AI writing assistant in terminal, powered by a fine-tuned Qwen2.5-7B model that helps improve your writing with personalized feedback, style suggestions, and grammar corrections.
Code and data to reproduce the experiments from “Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS²-based Proteomics”.
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