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Hi there I'm an undergraduated computer science student at Dartmouth College (class of 2024).

I'm interested in Machine Learning, and have been a machine learning engineer at Matterworks for over two years, a venture-backed startup revolutionizing metabolomics by integrating ML into the Mass Spectrometry workflow.

I also used to be a researcher at Dartmouth-Hitchock Medical Center (DHMC), where I apply machine-learning techniques (Self-Supervised Learning, Computer Vision) to radiation-oncology related problems

In my free time I like to re-implement papers that interest me and which (when I write the code at least) do not have any other implementations online. I am especially interested in re-implementing self-supervised and representation learning architectures!

Anurag's GitHub stats

Gabriel Asher's Projects

color-names icon color-names

Provides color names and HTML/RGB mappings in various output formats.

i-jepa icon i-jepa

Implementation of I-JEPA from "Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture"

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

vgg_loss icon vgg_loss

A VGG-based perceptual loss function for PyTorch.

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