lucidrains / ESBN-pytorchLinks
Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
☆25Updated 4 years ago
Alternatives and similar repositories for ESBN-pytorch
Users that are interested in ESBN-pytorch are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- AdaCat☆49Updated 2 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆75Updated 3 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- ☆21Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated last month
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- ☆49Updated 4 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- ☆11Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆60Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- ☆23Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- ☆41Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago