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:
- ☆64Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆54Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 2 years ago
- ☆30Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- ☆36Updated 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
- Convex potential flows☆84Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 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
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆65Updated 3 years ago
- ☆20Updated 3 years ago