dylandoblar / noether-networks
Meta-learning inductive biases in the form of useful conserved quantities.
☆37Updated 2 years ago
Alternatives and similar repositories for noether-networks:
Users that are interested in noether-networks are comparing it to the libraries listed below
- The Energy Transformer block, in JAX☆57Updated last year
- ☆24Updated 6 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated 2 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- ☆80Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- A JAX implementation of stochastic addition.☆14Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- ☆32Updated 7 months ago
- A simple hypernetwork implementation in jax using haiku.☆23Updated 2 years ago
- Turn jitted jax functions back into python source code☆22Updated 4 months ago
- ☆26Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- 👑 Pytorch code for the Nero optimiser.☆20Updated 2 years ago
- ☆49Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆11Updated last year
- Fast training of unitary deep network layers from low-rank updates☆28Updated 2 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆43Updated last month
- PyTorch Package For Quasimetric Learning☆42Updated 6 months ago
- ☆19Updated 3 years ago
- ☆17Updated 8 months ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆31Updated 3 years ago
- AdaCat☆49Updated 2 years ago