IDSIA / recurrent-fwpLinks
Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
☆49Updated 2 weeks ago
Alternatives and similar repositories for recurrent-fwp
Users that are interested in recurrent-fwp are comparing it to the libraries listed below
Sorting:
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆74Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 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
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆58Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 3 years ago
- ☆17Updated last year
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆59Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆23Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 11 months ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- ☆30Updated 3 years ago
- Generalised UDRL☆37Updated 3 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Code for the paper PermuteFormer☆42Updated 3 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
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- ☆22Updated 3 years ago
- ☆44Updated 4 years ago