Sophia Sanborn's repositories
spectral-universality
Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
bispectral-networks
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
simple-neural-nets
Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.
gtc-invariance
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023
bispectrum
Efficient implementation of the 2D translation-invariant bispectrum in PyTorch
graph-bispectrum
Use the bispectrum on the symmetric group to solve graph isomorphism.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
alphacsc
Convolution dictionary learning for time-series
baselines
Fork of openai/baselines
geomstats
Computations and statistics on manifolds with geometric structures.
torch-tools
Modular infrastructure for running deep learning experiments in PyTorch.
compSPI
Computational Single Particle Imaging
cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
e3nn
A modular framework for neural networks with Euclidean symmetry
EV-FlowNet
Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"
graph-resonators
Identify graph isomorphisms with HD computing.
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
PPOC
Proximal Policy Option-Critic
pylive
Query and control Ableton Live from Python
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
transform-datasets
Datasets for modeling transformations in data.
v197
Proceedings of NeurReps Workshop 2022
visualizations
A collection of visualization tools commonly used in my research.