Alternatives and similar repositories for spectral-RNN

Users that are interested in spectral-RNN are comparing it to the libraries listed below

• ischlag / Fast-Weight-Memory-public
  Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
  ☆28Updated 4 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆34Updated 6 months ago
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 7 months ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated 2 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 3 years ago
• zomux / lanmt-ebm
  lanmt ebm
  ☆12Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 6 months ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• choidami / sst
  ☆50Updated 5 years ago
• sarthmit / Compositional-Attention
  Code to reproduce the results for Compositional Attention
  ☆59Updated 3 years ago
• bergen / EdgeTransformer
  ☆22Updated 4 years ago
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 5 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆111Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆27Updated 4 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 6 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• thaihungle / SAM
  Self-attentive Associative Memory & SAM-based Two-Memory Model
  ☆59Updated 3 years ago
• KurochkinAlexey / AntisymmetricRNN
  Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"
  ☆15Updated 6 years ago
• Doraemonzzz / tnn-pytorch
  ☆20Updated 2 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 4 years ago
• schwartz-lab-NLP / papa
  Code for the PAPA paper
  ☆27Updated 3 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• deep-spin / sparse-communication
  ☆12Updated 3 years ago
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆17Updated last year