AllanYangZhou / metalearning-symmetriesLinks
Experiments for Meta-Learning Symmetries by Reparameterization
☆57Updated 4 years ago
Alternatives and similar repositories for metalearning-symmetries
Users that are interested in metalearning-symmetries are comparing it to the libraries listed below
Sorting:
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆63Updated last year
- ☆30Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆54Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- ☆36Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- ☆50Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago