akandykeller / NeuralWaveMachinesLinks
Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks"
☆77Updated 2 years ago
Alternatives and similar repositories for NeuralWaveMachines
Users that are interested in NeuralWaveMachines are comparing it to the libraries listed below
Sorting:
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 7 months ago
- The Official PyTorch Implementation of "Brain-like Variational Inference" (NeurIPS 2025 Paper)☆66Updated 2 months ago
- Hierarchical Associative Memory User Experience☆106Updated 3 weeks ago
- ☆195Updated last month
- ☆56Updated 3 years ago
- Easy Hypernetworks in Pytorch and Jax☆106Updated 3 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆175Updated 2 years ago
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- Official repository of "Spontaneous symmetry breaking in generative diffusion models"☆43Updated last year
- ☆41Updated 3 years ago
- ☆33Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆39Updated 3 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 11 months ago
- ☆60Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- Software for using predictive coding algorithms to train PyTorch models.☆26Updated last year
- Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"☆40Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated 2 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆168Updated 5 years ago
- ☆46Updated last week
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆61Updated 3 years ago
- The boundary of neural network trainability is fractal☆221Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆47Updated 5 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 7 months ago
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆35Updated 4 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago