Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
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Updated
Sep 5, 2024 - Python
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A library for optimization on Riemannian manifolds
Mixed-curvature Variational Autoencoders (ICLR 2020)
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Variational Autoencoder with non-euclidean (hyperbolic) latent space
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)
non-euclidean ray tracing engine
This repository contains all the various and noteworthy codes (in Python and Mathematica, mostly) I have ever made while studying for my degree and future studies in Physics at the University of the Balearic Islands. Still a work in progress.
A simple Flask app for comparing distances between 2 points using different methods.
Prototype for a fascinating VR tool
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