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Sophia Sanborn's Projects

alphacsc icon alphacsc

Convolution dictionary learning for time-series

bispectrum icon bispectrum

Efficient implementation of the 2D translation-invariant bispectrum in PyTorch

compspi icon compspi

Computational Single Particle Imaging

cplxmodule icon cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

e3nn icon e3nn

A modular framework for neural networks with Euclidean symmetry

ev-flownet icon ev-flownet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

geomstats icon geomstats

Computations and statistics on manifolds with geometric structures.

gtc-invariance icon gtc-invariance

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

hdnet icon hdnet

hdnet - Hopfield denoising network

ppoc icon ppoc

Proximal Policy Option-Critic

pylive icon pylive

Query and control Ableton Live from Python

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

redlich icon redlich

Unsupervised string segmentation and compression

rlbase icon rlbase

Modular Deep RL infrastructure in PyTorch

simple-neural-nets icon simple-neural-nets

Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.

spectral-universality icon spectral-universality

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

stable-baselines icon stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

tacotron2 icon tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

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