AlexanderMath / fasthLinks
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
☆76Updated last year
Alternatives and similar repositories for fasth
Users that are interested in fasth are comparing it to the libraries listed below
Sorting:
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Convex potential flows☆84Updated 3 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- ☆64Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆131Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 2 years ago
- ☆36Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- ☆48Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆68Updated 2 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- ☆47Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- ☆54Updated last year
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 10 months ago
- ☆42Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago