lezcano / expRNNLinks
Optimization with orthogonal constraints and on general manifolds
☆131Updated 5 years ago
Alternatives and similar repositories for expRNN
Users that are interested in expRNN are comparing it to the libraries listed below
Sorting:
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- ☆180Updated 6 years ago
- Hypergradient descent☆149Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- ☆36Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- A manifold optimization library for deep learning☆248Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 10 months ago
- ☆42Updated 6 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆30Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- ☆170Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Understanding normalizing flows☆132Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago