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akshayka

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Working on marimo.

Funding Links: https://github.com/sponsors/akshayka

GitHub Sponsors Profile

I'm Akshay Agrawal, a Ph.D. candidate at Stanford University advised by Stephen Boyd.
My research is in optimization and machine learning, and I'm passionate about building tools for both. I am the developer of PyMDE, a library for computing embeddings of large datasets, and I am a core developer of CVXPY, a domain-specific language for convex optimization used by many universities and companies.
Previously, I was a full-time software engineer on the Google Brain team, where I worked on TensorFlow 2.

Featured Works

cvxgrp/pymde

Minimum-distortion embedding with PyTorch

Language: Python - Stars: 546
cvxgrp/cvxpylayers

Differentiable convex optimization layers

Language: Python - Stars: 1896
cvxgrp/diffcp

Differentiation through cone programs

Language: Python - Stars: 98
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