harryliew / SdLBFGSLinks
☆25Updated 7 years ago
Alternatives and similar repositories for SdLBFGS
Users that are interested in SdLBFGS are comparing it to the libraries listed below
Sorting:
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆34Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆58Updated 6 years ago
- ☆47Updated 6 years ago
- hessian in pytorch☆187Updated 5 years ago
- PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes☆56Updated 3 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 7 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Second-order optimiser for deep networks☆76Updated 7 years ago
- Deep convolutional gaussian processes.☆83Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 2 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- ☆36Updated 4 years ago
- ☆172Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- ☆134Updated 8 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago