jotaf98 / pytorch-curveball
A second-order optimizer for deep networks
☆24Updated 5 years ago
Alternatives and similar repositories for pytorch-curveball:
Users that are interested in pytorch-curveball are comparing it to the libraries listed below
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 3 months ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆41Updated 2 years ago
- ☆42Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆62Updated 4 years ago
- ☆31Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 weeks ago
- ☆27Updated 4 years ago
- Masked Convolutional Flow☆59Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆26Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆74Updated 8 months ago
- implements optimal transport algorithms in pytorch☆94Updated 2 years ago
- Matrix square root with gradient support for PyTorch☆67Updated 2 years ago
- The Limited Multi-Label Projection Layer☆58Updated 8 months ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 years ago
- Percentile computation for pytorch☆20Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- ☆37Updated 5 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Implementation of Information Dropout☆39Updated 7 years ago