GitHub topics: invariance

Repositories

greyblake/nutype

Rust newtype with guarantees 🇺🇦 🦀

Language: Rust - Size: 1.14 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 1,586 - Forks: 28

chao1224/Geom3D

Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023

Language: Python - Size: 870 KB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 121 - Forks: 13

lucmos/relreps

Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 60 - Forks: 6

mtumilowicz/java11-covariance-contravariance-invariance

Covariance, invariance, contravariance overview of collections in Java 11, vavr, guava.

Language: Java - Size: 73.2 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

jiaqingxie/Theories-of-Graph-Neural-Networks

A List of Papers on Theoretical Foundations of Graph Neural Networks

Size: 227 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 29 - Forks: 0

trajectory-invariants/invariants_py

Calculate invariant trajectory representations from trajectory data and generate new trajectories from the invariants.

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

sophiaas/bispectral-networks

Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 23 - Forks: 7

The Transformational Measures (TM) library allows neural network researchers to evaluate the invariance and equivariance of their models with respect to a set of transformations. Support for Pytorch (current) and Tensorflow/Keras (coming).

Language: Python - Size: 62.9 MB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

sophiaas/gtc-invariance

Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023

Language: Python - Size: 30.3 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

sophiaas/spectral-universality

Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

Language: Python - Size: 445 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 4

chiukenny/Tests-for-Conditional-Symmetry

Randomization Tests for Conditional Group Symmetry

Language: Julia - Size: 3.01 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

chiukenny/Tests-for-Distributional-Symmetry

Non-parametric hypothesis tests for identifying distributional group symmetries from data

Language: Julia - Size: 1.52 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 5 - Forks: 1

trajectory-invariants/invariants_mat

Matlab implementation of Trajectory Invariants.

Language: MATLAB - Size: 3.27 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

MaksimRudnev/MIE.package

Measurement invariance explorer - R package to explore measurement invariance

Language: R - Size: 1.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 0

Weixy21/InvarianceNODE

On the forward invariance of Neural ODEs: performance guarantees for policy learning

Language: Python - Size: 2.94 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 9 - Forks: 2

beabevi/ESAN

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Language: Python - Size: 889 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 81 - Forks: 8

stanford-futuredata/equivariant-transformers

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 87 - Forks: 10

Katalip/ca-stinv-cnn

Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"

Language: Python - Size: 16.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

atiaisaac/VICReg_TF

This a tensorflow implementation of VICReg - a self-supervised learning architecture that prevents collapse in an intuitive manner using a loss function that 1. maintains the variance of each embedding over a batch above a threshold and 2. decorrelating pairs of embeddings over a batch and attracting them to 0. Training was done using TPU on colab

Language: Jupyter Notebook - Size: 85.2 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0