tensorly / torchLinks
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
☆79Updated last year
Alternatives and similar repositories for torch
Users that are interested in torch are comparing it to the libraries listed below
Sorting:
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆47Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- ☆102Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆129Updated last month
- Algorithms for computations on random manifolds made easier☆91Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆104Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- ☆54Updated 11 months ago
- Convex potential flows☆83Updated 3 years ago
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆25Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆110Updated 2 years ago
- Tensor Network Learning with PyTorch☆298Updated last year
- Distributed K-FAC preconditioner for PyTorch☆87Updated last week
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆45Updated 3 years ago
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆121Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month