fKunstner / fast-individual-gradients-with-autodiffLinks
☆26Updated 6 years ago
Alternatives and similar repositories for fast-individual-gradients-with-autodiff
Users that are interested in fast-individual-gradients-with-autodiff are comparing it to the libraries listed below
Sorting:
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆225Updated 5 years ago
- hessian in pytorch☆187Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 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 7 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Updated 3 years ago
- Hypergradient descent☆147Updated last year
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆158Updated 3 years ago
- ☆135Updated 8 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ☆27Updated 7 years ago
- ☆12Updated 8 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆219Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago