KordingLab / hilbert-constrained-gradient-descentLinks
Pytorch optimizers implementing Hilbert Constrained Gradient Descent
☆19Updated 6 years ago
Alternatives and similar repositories for hilbert-constrained-gradient-descent
Users that are interested in hilbert-constrained-gradient-descent are comparing it to the libraries listed below
Sorting:
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- ☆54Updated last year
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆64Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆124Updated last year
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- ☆100Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆50Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆30Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago