TrentBrick / attention-approximates-sdmLinks
Code for the paper "Attention Approximates Sparse Distributed Memory"
☆25Updated 3 years ago
Alternatives and similar repositories for attention-approximates-sdm
Users that are interested in attention-approximates-sdm are comparing it to the libraries listed below
Sorting:
- The Energy Transformer block, in JAX☆58Updated last year
- ☆14Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- Predictive Coding JAX-based library☆83Updated 6 months ago
- An implementation of Resonator Networks☆20Updated 4 years ago
- Hierarchical Associative Memory User Experience☆104Updated 3 months ago
- Brain-like variational inference☆57Updated 5 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆162Updated 4 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆163Updated 3 weeks ago
- ☆41Updated 3 years ago
- Flexible Inference for Predictive Coding Networks in JAX.☆56Updated 2 weeks ago
- Software for using predictive coding algorithms to train PyTorch models.☆26Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- ☆32Updated 4 years ago
- Language-annotated Abstraction and Reasoning Corpus☆93Updated 2 years ago
- Learning Universal Predictors☆79Updated 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
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆74Updated 2 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated 2 weeks ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆91Updated last year
- ☆192Updated 4 months ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Holographic Reduced Representations☆26Updated 11 months ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 3 years ago
- ☆115Updated last month
- ☆20Updated 2 years ago
- Neural Networks and the Chomsky Hierarchy☆210Updated last year