lezcano / expRNNLinks
Optimization with orthogonal constraints and on general manifolds
☆129Updated 5 years ago
Alternatives and similar repositories for expRNN
Users that are interested in expRNN are comparing it to the libraries listed below
Sorting:
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- A manifold optimization library for deep learning☆246Updated 3 years ago
- ☆180Updated 6 years ago
- hessian in pytorch☆187Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Hypergradient descent☆149Updated last year
- ☆42Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆169Updated 11 months ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆140Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 9 months ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆106Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- ☆36Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Regularized Neural ODEs (RNODE)☆82Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago