Erik Linder-Norén
ML engineer at Apple. Excited about machine learning, basketball and building things.
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About
Erik Linder-Norén works in ML & data science, based in Stockholm, Sweden. ML engineer at Apple. Excited about machine learning, basketball and building things. Public projects on GitHub include PyTorch-GAN (PyTorch implementations of Generative Adversarial Networks), PyTorch-YOLOv3 (Minimal PyTorch implementation of YOLOv3) and PyTorch-Deep-Dream (Minimal PyTorch implementation of Deep Dream), mostly written in Python, JavaScript and CSS.
Projects 6
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
github.comPyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
github.comPyTorch-Deep-Dream
Minimal PyTorch implementation of Deep Dream
github.comML-From-Scratch
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.
github.comKeras-GAN
Keras implementations of Generative Adversarial Networks.
github.comNapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
github.com