moonl1ght / HessianFreeOptimizationLinks
Hessian Free Optimization with Tensorflow
☆29Updated 7 years ago
Alternatives and similar repositories for HessianFreeOptimization
Users that are interested in HessianFreeOptimization are comparing it to the libraries listed below
Sorting:
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Python implementation of the analytical solution to Variational Bayes Matrix Factorization☆32Updated 8 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Structured Bayesian Pruning, NIPS 2017☆74Updated 4 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- The code for the paper: https://arxiv.org/abs/1806.06317☆24Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- ☆46Updated 7 years ago
- ☆81Updated 7 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- ☆133Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆26Updated 7 years ago
- ☆40Updated 6 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- customized GPflow with simple Tensorflow API☆17Updated 5 years ago
- ☆33Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated 11 months ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Spherical random features for polynomial kernels☆10Updated 9 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- ☆38Updated 7 years ago
- ☆15Updated 7 years ago
- ☆41Updated 8 years ago