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