dylandoblar / noether-networksLinks
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
Sorting:
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- The Energy Transformer block, in JAX☆59Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- ☆192Updated 2 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 3 months ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆71Updated 2 months ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆73Updated 2 years ago
- ☆26Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆11Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- ☆50Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 3 months ago
- Running Jax in PyTorch Lightning☆113Updated 9 months ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Perceiver (transformer variant) implemented in JAX and Flax☆12Updated 4 years ago
- Riemannian Optimization Using JAX☆52Updated last year
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- ☆24Updated 6 years ago