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Hi 👋

😄 I am a Machine Learning Engineer with a passion for solving complex problems using cutting-edge technology. With a background in computer science and mathematics, I have experience in both industry and academia, working on projects ranging from natural language processing to computer vision.

⚡ I have a strong understanding of machine learning algorithms and techniques, including deep learning, neural networks, and reinforcement learning. I am also proficient in programming languages such as Python, Tensorflow, PyTorch and Keras.

💬 I am always looking to learn and grow in the field, and am excited to be a part of the rapidly advancing field of artificial intelligence.

🔭 In my free time, I enjoy reading research papers, experimenting with new technologies, and participating in machine learning competitions.

📫 Please feel free to reach out to me if you have any questions or opportunities!

Ivan Reyes's Projects

aoe2-how-many-games-to-pro icon aoe2-how-many-games-to-pro

A machine learning app to predict how many games you need to reach a certain ELO given the results of your past matches.

data-science-cheatsheet icon data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

endoscopycorruptions icon endoscopycorruptions

The endoscopycorruptions Python package provides utilities to simulate common image corruptions that might occur during endoscopic procedures. This tool is designed to assist in the development and testing of image processing algorithms intended for endoscopic imagery by introducing realistic corruptions into clean images.

ffselection icon ffselection

A python fast feature selection for supervised learning

macfe icon macfe

MACFE: Meta-learning and Causality Based Feature Engineering | https://link.springer.com/chapter/10.1007/978-3-031-19493-1_5

made-with-ml icon made-with-ml

Learn how to responsibly deliver value with machine learning.

mair icon mair

PyTorch implementation of adversarial defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].

mlops-tutorial icon mlops-tutorial

Explore MLOps in Computer Vision: Covering basics, machine learning principles, specific CV techniques, platforms, data management, model development, and a medical imaging case study. Ideal for those with prior programming knowledge and a basic understanding of ML.

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