toiaydcdyywlhzvlob / backpackLinks
This repository is no longer maintained. Check
☆81Updated 5 years ago
Alternatives and similar repositories for backpack
Users that are interested in backpack are comparing it to the libraries listed below
Sorting:
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- An implementation of shampoo☆75Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Hypergradient descent☆149Updated last year
- ☆27Updated 6 years ago
- hessian in pytorch☆187Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- ☆46Updated 7 years ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆36Updated 3 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- ☆45Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆32Updated 6 years ago