akandykeller / NeuralWaveMachinesLinks
Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks"
☆74Updated 2 years ago
Alternatives and similar repositories for NeuralWaveMachines
Users that are interested in NeuralWaveMachines are comparing it to the libraries listed below
Sorting:
- Brain-like variational inference☆57Updated 5 months ago
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 4 months ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- ☆33Updated 2 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- Hierarchical Associative Memory User Experience☆104Updated 3 months ago
- Official repository of "Spontaneous symmetry breaking in generative diffusion models"☆43Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 8 months ago
- ☆192Updated 4 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"☆38Updated last year
- Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…☆171Updated 4 months ago
- Transformers with doubly stochastic attention☆49Updated 3 years ago
- ☆60Updated 3 years ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆105Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆50Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- The Energy Transformer block, in JAX☆58Updated last year
- Software for using predictive coding algorithms to train PyTorch models.☆26Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- Portfolio REgret for Confidence SEquences☆20Updated 10 months ago
- ☆41Updated 3 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 9 months ago
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Easy Hypernetworks in Pytorch and Jax☆105Updated 2 years ago