Language Breakdown
Lines of code distribution across 30 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
47
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Nicola De Cao
@nicola-decao
Seongq
@seongq
Paul J. Atzberger
@atzberg
Peter Whidden
@PWhiddy
Sam
@greydanus
Top Repositories
My-Poems-in-Mongolian
This repository contains a PyTorch implementation of a 3D Spherical Autoencoder trained on the MNIST dataset. Unlike standard autoencoders that rely on an unbounded Cartesian latent space, this model constrains the learned representations strictly to the surface of a 3D unit sphere.
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
Geometric intuition for vector calculus and Fourier analysis — gradients, divergence, curl, Helmholtz decomposition, and the relationship between vector fields, rotations, and frequency space.
Minimal PyTorch framework for comparing velocity and endpoint objectives in Conditional Flow Matching.
58 implementations of synthetic learning problems from Jürgen Schmidhuber's papers (1989-2025). Pure numpy, laptop-runnable, paper-comparison metrics per stub. Algorithmic-lineage companion to hinton-problems.
Documenting my journey to understanding Lie Algebra, along with the resources that helped me learn.
A Journey to Understand Diffusion: Langevin sampling, Langevin Diffusion, ItoSDE
Official implementation of Modular Flow Matching. This framework leverages a Mixture of Experts (MoE) backbone to decompose complex vector fields into K independent, non-overlapping "programs.
understand and implement Muzero from scratch, with notes.
Open Source Impact
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