A manifold optimization library for deep learning
☆254Aug 10, 2021Updated 4 years ago
Alternatives and similar repositories for mctorch
Users that are interested in mctorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆903Jun 2, 2025Updated last year
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Feb 18, 2022Updated 4 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆47May 26, 2026Updated last month
- Optimization with orthogonal constraints and on general manifolds☆130Jul 13, 2020Updated 5 years ago
- The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>☆23Mar 18, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated 2 years ago
- Operations for CNN on manifolds.☆14Mar 19, 2021Updated 5 years ago
- Mini-batch multiplicative updates for beta-NMF☆15Jun 27, 2017Updated 9 years ago
- csl: PyTorch-based Constrained Learning☆11Jun 1, 2022Updated 4 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆13Sep 14, 2021Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Dec 16, 2019Updated 6 years ago
- Riemannian Optimization Using JAX☆56Oct 30, 2023Updated 2 years ago
- Differentiable convex optimization layers☆2,106May 19, 2026Updated last month
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,895Jun 8, 2026Updated 3 weeks ago
- This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold☆10Sep 10, 2020Updated 5 years ago
- The differentiable OSQP solver layer for PyTorch☆67Dec 26, 2022Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 years ago
- ☆15Feb 17, 2018Updated 8 years ago
- This repository is no longer maintained. Check☆81Apr 23, 2020Updated 6 years ago
- PyTorch layer-by-layer model profiler☆605May 23, 2021Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Jan 5, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 🌊 Numerically solving and backpropagating through the wave equation☆542Feb 8, 2020Updated 6 years ago
- PyTorch implementation of Sinusodial Representation networks (SIREN)☆267Dec 8, 2022Updated 3 years ago
- Riemannian approach to batch normalization☆24Nov 16, 2017Updated 8 years ago
- ☆10Oct 20, 2023Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- PyTorch study☆14Oct 16, 2017Updated 8 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Riemannian Geometry workshop at vBCI Meeting 2021☆55Jul 15, 2021Updated 4 years ago
- Bayesian optimization in PyTorch☆3,562Jun 23, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 5 years ago
- A very small PyTorch container in Alpine Linux☆69Feb 16, 2018Updated 8 years ago
- SDP Code for Distributionally Robust Optimization Technique☆11Aug 25, 2018Updated 7 years ago
- A PyTorch implementation of L-BFGS.☆627Feb 21, 2023Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆470Jun 18, 2026Updated 2 weeks ago
- A PyTorch library for two-sample tests☆243Nov 12, 2025Updated 7 months ago
- Riemannian Interior Point Methods (RIPM) for Constrained Optimization on Manifolds☆17Feb 3, 2024Updated 2 years ago