tensorly / torchLinks
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
☆81Updated 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 "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- ☆105Updated 4 years ago
- ☆48Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆146Updated this week
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆74Updated last year
- Convex potential flows☆84Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated last year
- Tensor Network Learning with PyTorch☆302Updated last year
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆114Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 11 months ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Rational Activation Functions - Replacing Padé Activation Units☆102Updated 8 months ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Transformers with doubly stochastic attention☆49Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Experiments for Neural Flows paper☆99Updated 3 years ago