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:
- 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.☆75Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Hypergradient descent☆149Updated last year
- ☆36Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- ☆180Updated 6 years ago
- ☆42Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- A manifold optimization library for deep learning☆248Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- ☆169Updated last year
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Convex potential flows☆83Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆63Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago