g-benton / learning-invariancesLinks
Codebase for Learning Invariances in Neural Networks
☆95Updated 2 years ago
Alternatives and similar repositories for learning-invariances
Users that are interested in learning-invariances are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- ☆100Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆64Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 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
- 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
- A Machine Learning workflow for Slurm.☆150Updated 4 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
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Hypergradient descent☆149Updated last year
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆133Updated 4 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 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
- ☆89Updated 3 years ago