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Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras
Lie Algebra Convolutional Network implementation
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
Code for paper "Orthogonal Convolutional Neural Networks".
(ICLR24) A Lie Group Approach to Riemannian Batch Normalization.
The FORM project for symbolic manipulation of very big expressions
A brief tutorial on how to use ray/rllib/tun in slurm cluster.
pytorch implement of Lookahead Optimizer
Taylor Genetic Programming for Symbolic Regression
C++ code with a python wrapper for computing energy-energy correlators (EECs) efficiently
Make your own gifs of Conv2d forward pass
Official implementation of "Particle Transformer for Jet Tagging".
Hyperbolic Graph Convolutional Networks in PyTorch.
Code for paper Fully Hyperbolic Neural Networks
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
Official PyTorch implementation of Hyperbolic Neural Networks++
Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
Hyperbolic PCA via Horospherical Projections
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
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