sbarratt / torch_cg
Preconditioned Conjugate Gradient in Pytorch
☆138Updated last year
Alternatives and similar repositories for torch_cg:
Users that are interested in torch_cg are comparing it to the libraries listed below
- Interpolation routines in Pytorch.☆109Updated 4 years ago
- A sparse KLU solver for PyTorch.☆62Updated 3 years ago
- Pytorch Custom CUDA kernel for searchsorted☆136Updated last year
- Convex potential flows☆83Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- ☆100Updated 4 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- hessian in pytorch☆186Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Optimization with orthogonal constraints and on general manifolds☆127Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆265Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆73Updated 7 months ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆92Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- A manifold optimization library for deep learning☆241Updated 3 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 8 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 5 years ago
- ☆70Updated 2 years ago
- A PyTorch implementation of L-BFGS.☆597Updated 2 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆36Updated 3 years ago
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆75Updated 4 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆244Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Newton and Quasi-Newton optimization with PyTorch☆337Updated 11 months ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 7 months ago