tyohei / chainerkfac
A Chainer extension for K-FAC
☆20Updated 5 years ago
Alternatives and similar repositories for chainerkfac:
Users that are interested in chainerkfac are comparing it to the libraries listed below
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- ☆82Updated 5 years ago
- PyTorch-MPI-DDP-example☆17Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Distributed K-FAC Preconditioner for PyTorch☆84Updated this week
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆26Updated 5 years ago
- ☆25Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- ☆46Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 5 months ago
- The code for the paper: https://arxiv.org/pdf/1802.00168.pdf☆17Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆130Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Updated 6 years ago
- ☆27Updated 6 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago