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Benjamin Osafo Agyare's Projects

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Course materials for STATS 810 Fall 2021, Literature proseminar with emphasis on responsible conduct of research and scholarship

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Applied Machine Learning with Python

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Repository for course project for Machine Learning in Computational Biology

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Machine Learning and Data Mining. Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.

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This is a package to implement Distributed Gradient Descent (DistGD)

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Package for Generalized Expectile Estimating Equations

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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A Collection of Variational Autoencoders (VAE) in PyTorch.

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🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

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A repository for sharing code with Stats 506 in Fall 2019.

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A repo for sharing code with students enrolled in the F20 semester of Stats 506.

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